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Adaptation and Learning

Adaptive Networks

Biological Networks

Communications

Data Conversion

Fast Algorithms

H-Infinity Methods

Kalman Filtering

Numerical Linear Algebra

Optical Communications

RF Impairments

Robust Least-Squares

Wireless Location

Wireless Networks

ADAPTATION AND LEARNING
  1. M. Carpentiero, V. Matta, and A. H. Sayed, "Compressed regression over adaptive networks," to appear in IEEE Trans.  Signal and Information Processing over Networks, 2024 [arXiv].  
  2. S. Vlaski, S. Kar, A. H. Sayed, and J. M. F. Moura, "Networked signal and information processing,"  IEEE Signal Processing Magazine, vol. 40, no. 5, pp. 92-105, July 2023. [pdf] [arXiv]
  3. P. Hu, V. Bordignon, S. Vlaski, and A. H. Sayed,  "Optimal aggregation strategies for social learning over graphs,''  IEEE Trans. Information Theory,  vol. 69, no. 9, pp.  6048-6070, Sep. 2023.  [pdf] [arXiv]
  4. M. Kayaalp, F. Ghadieh, and A. H. Sayed, ``Policy evaluation in decentralized POMDPs with belief sharing,'' IEEE Open J. Control Systems, vol. 2, pp. 125-145, June 2023. [pdf] [arXiv]
  5. R. Nassif, S. Vlaski, M. Carpentiero, V. Matta, M. Antonini, and A. H. Sayed, "Quantization for decentralized learning under subspace constraints," IEEE Trans. Signal Processing, vol. 71, pp. 2320-2335,  June 2023. [pdf][arXiv]
  6. E. Rizk, S. Vlaski, and A. H. Sayed,  "Local graph-homomorphic processing for privatized distributed systems,'' Proc. IEEE ICASSP, pp. 1-5, Rhodes Island, Greece, June 2023. [pdf]
  7. V. Bordignon, S. Vlaski, V. Matta, and A. H.  Sayed, "Learning from heterogeneous data based on social interactions over graphs," IEEE Trans. Information Theory, vol. 69, no. 5, pp. 3347-3371, May 2023. [pdf] [arXiv]
  8. V. Bordignon, V. Matta, and A. H.  Sayed, "Partial information sharing over social learning networks,''  IEEE Trans. Information Theory, vol. 69, no. 3, pp. 2033-2058, March 2023. [pdf] [arXiv]
  9. M. Cirillo, V. Matta, and A. H. Sayed, "Estimating the topology of preferential attachment graphs under partial observability,''  IEEE Trans. Information Theory, vol. 69, no. 2, pp. 1355-1380, Feb. 2023. [pdf]
  10. F. Huang, S. Zhang,  J. Zhang, H. Chen,  and A. H.  Sayed,  "Diffusion Bayesian decorrelation algorithms over networks,'' IEEE Trans. Signal Process.,  vol. 71, pp.  571-586,   Feb. 2023. [pdf]
  11. V. Shumovskaia, K. Ntemos, S. Vlaski, and A. H.  Sayed, "Explainability and graph learning from social interactions,'' IEEE Trans. Signal and Information Processing over Networks,  vol. 8, pp. 946-959, 2022, DOI  10.1109/TSIPN.2022.3223805. [pdf] [arXiv]
  12. Y. Inan, M.  Kayaalp, E. Telatar, and A. H. Sayed,  "Social learning under randomized collaborations,'' Proc. IEEE Int. Symp. Information Theory (ISIT), pp. 1-5,   Helsinki, Finland, June 2022 [pdf]
  13. M. Kayaalp, V. Bordignon, S. Vlaski,  and A. H. Sayed, "Hidden Markov modeling over graphs," IEEE Data Science and Learning Workshop, pp. 1-5, Singapore, May 2022. [pdf]
  14. P. Hu, V. Bordignon, S. Vlaski, and A H.  Sayed, "Optimal combination policies for adaptive social learning,''  Proc. IEEE ICASSP, pp. 1-5, Singapore, May 2022. [pdf]
  15. I. Yunus, M. Kayaalp, A. H.  Sayed, and E. Telatar,  "A fundamental limit of distributed hypothesis testing under memoryless quantization,'' Proc. IEEE ICC, pp. 1-6, Seoul, South Korea,  May 2022. [pdf]
  16. E. Rizk, S. Vlaski, and A. H. Sayed, "Federated learning under importance sampling,''  IEEE Trans.  Signal Processing, vol. 70, pp. 5381-5396, 2022, DOI 10.1109/TSP.2022.3210365.  [pdf] [arXiv]
  17. S. Vlaski and A. H. Sayed, "Second-order guarantees of stochastic gradient descent in non-convex optimization,''  IEEE Trans. Automatic Control, vol. 67, no. 12, pp. 6489-6504, 2022, DOI 10.1109/TAC.2021.3131963. [pdf] [arXiv]
  18. S. Vlaski, L. Vanderberghe, and A. H. Sayed, "Regularized diffusion adaptation via conjugate smoothing,'' IEEE Trans. Automatic Control, vol. 67, no. 5, pp. 2343-2358, May 2022. [pdf][arXiv]
  19. M. Kayaalp, S. Vlaski, and A. H. Sayed, "Dif-MAML: Decentralized multi-agent meta-learning,''  IEEE Open Journal of Signal Processing, vol. 3, pp. 71-93, January 2022.  [pdf] [arXiv]
  20. S. Marano and A. H. Sayed, "Decision-making algorithms for learning and adaptation with application to COVID-19 data,"  Signal Processing,  vol. 194, 108426, 2022.  [pdf][arXiv] 
  21. S. Alghunaim, Q. Lyu, M. Yan, and A. H. Sayed, ``Dual consensus proximal algorithm for multi-agent sharing problems,'' IEEE Trans. Signal Processing, vol. 69, pp. 5568-5579, 2021. [pdf]
  22. S. Zhang, F. Zhang, H. Chen, R. Merched, and A. H. Sayed,  "Frequency-domain diffusion adaptation over networks,''  IEEE Trans. Signal Processing, vol. 69, pp. 5419-5430, 2021. [pdf]
  23. V. Shumovskaia, K. Ntemos, S. Vlaski, and A. H. Sayed, ``Online graph learning from social interactions,'' Proc. Asilomar Conference on Signals, Systems and Computers, 5 pages, Pacific Grove, CA, Nov. 2021. [pdf]
  24. V. Bordignon, V. Matta, and A. H. Sayed,  "Adaptive social learning,'' IEEE Trans. Information Theory,  vol. 67, no. 9, pp. 6053-6081,  Sep. 2021. [pdf] [arXiv]
  25. H. Salami, B. Ying, and A. H.  Sayed, "Belief control strategies for interactions over weakly-connected graphs,''  IEEE Open Journal of Signal Processing, vol. 2, pp. 265-279, 2021. [pdf][arXiv]  
  26. S. A. Alghunaim,  E. K. Ryu, K. Yuan,  and A. H. Sayed, "Decentralized proximal gradient algorithms with linear convergence rates,''  IEEE Trans. Automatic Control,  vol. 66, no. 6, pp. 2787-2794, June 2021. [pdf] [arXiv]
  27. S. Marano and A. H.  Sayed, "Decision learning and adaptation over multi-task networks,''  IEEE Trans. Signal Processing, vol. 69, pp. 2873-2887, May 2021. [pdf] [arXiv]  
  28. L. Cassano, K. Yuan, and A. H.  Sayed, "Multi-agent fully decentralized value function learning with linear convergence rates,''  IEEE Transactions on Automatic Control,  vol. 66, no. 4, pp. 1497-1512, April 2021. [pdf] [arXiv]
  29. S. Vlaski and A. H. Sayed,  "Distributed learning in non-convex environments – Part II: Polynomial escape from saddle points,'' IEEE Trans. Signal Processing,  vol. 69, pp. 1257-1270, 2021. [pdf] [arXiv]
  30. S. Vlaski and A. H. Sayed, "Distributed learning in non-convex environments – Part I: Agreement at a linear rate,'' IEEE Trans. Signal Processing, vol. 69, pp. 1242-1256, 2021. [pdf] [arXiv]
  31. V. Matta, A. Santos, and A. H. Sayed, "Graph learning under partial observability,"  Proc. IEEE, vol. 108, no. 11, pp. 2049-2066,  Nov. 2020. [pdf] [arXiv]
  32. S. Vlaski and A. H. Sayed, "Second-order guarantees in centralized, federated, and decentralized nonconvex optimization,'' Communications in Information and Systems, vol. 20, no. 3, pp. 353-388, 2020. [pdf] [arXiv]
  33. D. Jin, J. Chen, C. Richard, J. Chen, and A. H. Sayed, "Convex combination of diffusion strategies over networks,''  IEEE Transactions on Signal and Information Processing over Networks, vol. 6, pp. 714-731, Nov. 2020. [pdf]
  34. S. A. Alghunaim, K. Yuan, and A. H. Sayed, ``A proximal diffusion strategy for multi-agent optimization with sparse affine constraints,'' IEEE Trans. Automatic Control,  vol. 65, no. 11, pp. 4554-4567, November 2020. [pdf] [arXiv]
  35. F. Hua, R. Nassif, C. Richard,  H. Wang, and A. H.  Sayed, ``Diffusion LMS with communication delays: Stability and performance analysis,'' IEEE Signal Processing Letters, vol. 27, pp. 730-734, 2020.  [pdf] [arXiv]
  36. S. Vlaski, E. Rizk, and A. H. Sayed, ``Tracking performance of online stochastic learners,''  IEEE Signal Processing Letters,  vol. 27, pp. 1385-1389, 2020. [pdf] [arXiv]
  37. K. Yuan, S. Alghunaim, B. Ying, and A. H. Sayed, "On the influence of bias-correction on distributed stochastic optimization,'' IEEE Trans. Signal Processing, vol. 68, pp. 4352-4367, 2020. [pdf] [arXiv]
  38. R. Nassif, S. Vlaski, and A. H. Sayed, ``Adaptation and learning over networks under subspace constraints – Part II: Performance analysis,''  IEEE Trans. Signal Processing, vol. 68, pp. 2948-2962, 2020. [pdf] [arXiv]
  39. V. Matta, V. Bordignon, A. Santos, and A. H. Sayed,  "Interplay between topology and social learning over weak graphs,'' IEEE Open Journal of Signal Processing, vol. 1, pp. 99-119, July 2020. [pdf] [arXiv]
  40. S. Alghunaim and A. H. Sayed, ``Linear convergence of primal-dual gradient methods and their performance in distributed optimization,'' Automatica, vol. 117, pp. 109003, July 2020. [pdf] [arXiv]
  41. R. Nassif, S. Vlaski, C. Richard, J. Chen, and A. H. Sayed, ``Multitask learning over graphs,'' IEEE Signal Processing Magazine, vol. 37, no. 3, pp. 14-25, May 2020. [pdf] [arXiv]
  42. R. Nassif, S. Vlaski, C. Richard, and A. H. Sayed,  "Learning over multitask graphs – Part II: Performance analysis,'' IEEE Open Journal of Signal Processing, vol. 1, pp. 46-63, April 2020. [pdf] [arXiv]
  43. R. Nassif, S. Vlaski, C. Richard, and A. H. Sayed,  "Learning over multitask graphs – Part I: Stability Analysis,''  IEEE Open Journal of Signal Processing, vol. 1, pp. 28-45, April 2020. [pdf] [arXiv]
  44. X. Mao, K. Yuan, Y. Hu, Y. Gu, A. H. Sayed, and W. Yin, ``Walkman: A communication-efficient random-walk algorithm for decentralized optimization,'' IEEE Trans. Signal Processing, vol. 68, pp. 2513-2528, Mar. 2020.  [pdf] [arXiv]
  45. D. Jin,  J. Chen, C. Richard, J. Chen, and A. H. Sayed, ``Affine combination of diffusion strategies over networks,'' to appear in IEEE Transactions on Signal Processing,  vol. 68, no. 1, pp. 2087-2104, Feb. 2020. [pdf] [arXiv]
  46. B. Ying, K. Yuan, and A. H. Sayed, "Variance-reduced stochastic learning under random reshuffling,''  IEEE Transactions on Signal Processing, vol. 68, pp. 1390-1408, Feb. 2020. [pdf]  [arXiv]
  47. R. Nassif, S. Vlaski, and A. H. Sayed, ``Adaptation and learning over networks under subspace constraints – Part I: Stability analysis,'' IEEE Trans. Signal Processing, vol. 68, pp. 1346-1360, Jan. 2020. [pdf]  [arXiv]
  48. F. Hua, R. Nassif, C. Richard, H. Wang, and A. H Sayed, ``Online distributed learning over graphs with multitask graph-filter models,''  IEEE Transactions on Signal and Information Processing over Networks, vol. 6, pp. 63-77, Jan. 2020. [pdf] [arXiv]
  49. A. Santos, V. Matta, and A. H. Sayed, "Local tomography of large networks under the low-observability regime,'' IEEE Transactions on Information Theory, vol. 66, no. 1, pp. 587-613, January 2020. [pdf] [arXiv]
  50. S. A. Alghunaim and A. H. Sayed, ``Distributed coupled multi-agent stochastic optimization,'' IEEE Trans. Automatic Control,  vol. 65, no. 1, pp. 175-190, January 2020. [pdf] [arXiv]
  51. B. Ying, K. Yuan, and A. H. Sayed, ``Dynamic average diffusion with randomized coordinate updates,''  IEEE Transactions on Signal and Image Processing over Networks, vol. 5. no. 4, pp. 753-767, December 2019.  [pdf] [arXiv]
  52. S. Marano and A. H. Sayed, ``Detection under one-bit messaging over adaptive networks,'' to appear in IEEE Trans. Information Theory,  vol. 65, no. 10, pp. 6519-6538, October 2019. [pdf] [arXiv]
  53. B. Ying, K. Yuan, and A. H. Sayed, "Supervised learning under distributed features,"  IEEE Trans. Signal Processing,  vol. 67, no. 4, pp. 977-992,  February 2019. [pdf]  [arXiv]
  54. R. Nassif, S. Vlaski, C. Richard, and A. H. Sayed, ``A regularization framework for learning over multitask graphs,''  IEEE Signal Processing Letters,  vol. 26, no. 2, pp. 297-301, February 2019. [pdf]
  55. K. Yuan, B. Ying, X. Zhao, and A. H. Sayed, ``Exact diffusion for distributed optimization and learning -- Part I: Algorithm development,''  IEEE Trans. Signal Processing,  vol. 67, no. 3, pp. 708-723, Feb. 2019.  [pdf]  [arXiv]
  56. K. Yuan, B. Ying, X. Zhao, and A. H. Sayed, ``Exact diffusion for distributed optimization and learning -- Part II: Convergence analysis,''  IEEE Trans. Signal Processing,  vol. 67, no. 3, pp. 724-739, Feb. 2019.  [pdf] [arXiv]
  57. B. Ying, K. Yuan, S. Vlaski, and A. H. Sayed, ``Stochastic learning under random reshuffling with constant step-sizes,''  IEEE Trans. Signal Processing,  vol. 67, no. 2, pp. 474-489, Jan. 2019.  [pdf]  [arXiv]
  58. K. Yuan, B. Ying, J. Liu, and A. H. Sayed, ``Variance-reduced stochastic learning by networked agents under random reshuffling,''  IEEE Trans. Signal Processing, vol. 67, no. 2, pp. 351-366, Jan. 2019.  [pdf] [arXiv]
  59. V. Matta and A. H. Sayed, ``Consistent tomography under partial observations over adaptive networks,"  IEEE Trans. Information Theory,  vol. 65, no. 1, pp. 622-646, Jan. 2019.  [pdf] [arXiv]
  60. B. Ying and A. H. Sayed, “Performance limits of stochastic sub-gradient learning, Part I: Single-agent case,” Signal Processing, vol. 144, pp. 271-282, March 2018. [pdf] [arXiv]
  61. B. Ying and A. H. Sayed, “Performance limits of stochastic sub-gradient learning, Part II: Multi-agent case,”  Signal Processing, vol. 144, pp. 253-264, March 2018. [pdf] [arXiv]
  62. C. Wang, Y. Zhang, B. Ying, and A. H. Sayed, ``Coordinate-descent diffusion learning by networked agents,'' IEEE Trans. Signal Process., vol. 66, no. 2, pp. 352-367, Jan. 2018.  [pdf]   [arXiv]
  63. R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed, “Diffusion LMS for multitask problems with local linear equality constraints,” IEEE Trans. Signal Processing, vol. 65, no. 19, pp. 4979–4993, Oct. 2017. [pdf] [arXiv]
  64. C.-K. Yu, M. van der Schaar, and A. H. Sayed, “Distributed learning for stochastic generalized Nash equilibrium problems,” IEEE Trans. Signal Processing, vol. 65, no. 15, pp. 3893-3908, August 2017. [pdf] [arXiv]
  65. S. Khawatmi, A. H. Sayed, and A. Zoubir, “Decentralized clustering and linking by networked agents,” IEEE Trans. Signal Process., vol. 65, no. 13, pp. 3526-3537, July 2017. [pdf] [arXiv]
  66. J. Chen, C. Richard, and A. H. Sayed, “Multitask diffusion adaptation over networks with common latent representations,” IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 3, pp. 563-579, April 2017. [pdf] [arXiv]
  67. V. Matta, P. Braca, S. Marano, and A. H. Sayed, “Distributed detection over adaptive networks: Refined asymptotics and the role of connectivity,” in IEEE Trans. Signal and Information Processing over Networks, vol. 2, no. 4, pp. 442–460, Dec. 2016. [pdf] [arXiv]
  68. S. Al-Sayed, A. Zoubir, and A. H. Sayed, “Robust adaptation in impulsive noise,” IEEE Trans. Signal Processing, vol. 64, no. 11, pp. 2851-2865, June 2016. [pdf]
  69. R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed, “Multitask diffusion adaptation over asynchronous networks,” IEEE Trans. Signal Processing, vol. 64, no. 11, pp. 2835-2850, June 2016. [pdf] [arXiv]
  70. R. Abdolee, B. Champaign, and A. H. Sayed, “Diffusion adaptation over multi-agent networks with wireless link impairments,” IEEE Trans. Mobile Computing, vol. 15, no. 6, pp. 1362-1376, June 2016. [pdf] [arXiv]
  71. K. Yuan, B. Ying, and A. H. Sayed, “On the influence of momentum acceleration on online learning,” Journal of Machine Learning Research, vol. 17, no. 192, pp. 1-66, 2016. [pdf] [arXiv]
  72. B. Ying and A. H. Sayed, “Information exchange and learning dynamics over weakly-connected adaptive networks,” IEEE Trans. Information Theory, vol. 62, no. 3, pp. 1396-1414, March 2016. [pdf] [arXiv]
  73. J. Arenas-Garcia, L. A. Azpicueta-Ruiz, M. T. M. Silva, V. H. Nascimento, and A. H. Sayed, “Combinations of adaptive filters,” IEEE Signal Process. Magazine, vol. 33, no. 1, pp. 120-140, January 2016. [pdf]
  74. Z. J. Towfic and A. H. Sayed, “Stability and performance limits of adaptive primal-dual networks,”IEEE Trans. Signal Process., vol. 63, no. 11, pp. 2888-2903, June 2015. [pdf] [arXiv]
  75. J. Chen and A. H. Sayed, “On the learning behavior of adaptive networks — Part I: Transient analysis,” IEEE Trans. Information Theory, vol. 61, no. 6, pp. 3487-3517, June 2015. [pdf] [arXiv]
  76. J. Chen and A. H. Sayed, “On the learning behavior of adaptive networks — Part II: Performance analysis,” IEEE Trans. Information Theory, vol. 61, no. 6, pp. 3518-3548, June 2015. [pdf] [arXiv]
  77. J. Chen, C. Richard, and A. H. Sayed, “Diffusion LMS over multitask networks,” IEEE Trans. Signal Process., vol. 63, no. 11, pp. 2733-2748, June 2015. [pdf] [arXiv]
  78. X. Zhao and A. H. Sayed, “Asynchronous adaptation and learning over networks — Part I: Modeling and stability analysis,” IEEE Trans. Signal Process., vol. 63, no. 4, pp. 811-826, February 2015. [pdf] [arXiv]
  79. X. Zhao and A. H. Sayed, “Asynchronous adaptation and learning over networks — Part II: Performance analysis,” IEEE Trans. Signal Process., vol. 63, no. 4, pp. 827-842, February 2015. [pdf] [arXiv]
  80. X. Zhao and A. H. Sayed, “Asynchronous adaptation and learning over networks — Part III: Comparison analysis,” IEEE Trans. Signal Process., vol. 63, no. 4, pp. 843-858, February 2015. [pdf] [arXiv]
  81. J. Chen, C. Richard, and A. H. Sayed, “Multitask diffusion adaptation over networks,” IEEE Trans. Signal Processing, vol. 62, no. 16, pp. 4129-4144, August 2014. [pdf]
  82. Z. J. Towfic and A. H. Sayed, “Adaptive penalty-based distributed stochastic convex optimization,” IEEE Trans. Signal Processing, vol. 62, no. 15, pp. 3924-3938, August 2014. [pdf]
  83. A. H. Sayed, “Adaptation, learning, and optimization over networks,” Foundations and Trends in Machine Learning, vol. 7, issue 4-5, pp. 311-801, NOW Publishers, Boston-Delft, 2014. [pdf]
  84. A. H. Sayed, “Adaptive networks,” Proceedings of the IEEE, vol. 102, no. 4, pp. 460-497, April 2014. [pdf]
  85. S.-Y. Tu and A. H. Sayed, “Distributed decision-making over adaptive networks,” IEEE Trans. Signal Processing, vol. 62, no. 5, pp. 1054-1069, March 2014. [pdf]
  86. R. Abdolee, B. Champagne, and A. H. Sayed, “Estimation of space-time varying parameters using a diffusion LMS algorithm,” IEEE Trans. Signal Processing, vol. 62, no. 2, pp. 403-418, Jan. 2014. [pdf]
  87. A. H. Sayed, S.-Y. Tu, J. Chen, X. Zhao, and Z. J. Towfic, “Diffusion strategies for adaptation and learning over networks,” IEEE Signal Processing Magazine, vol. 30, no. 3, pp. 155-171, May 2013. [pdf]
  88. J. Chen and A. H. Sayed, “Distributed Pareto optimization via diffusion strategies,” IEEE J. Selected Topics in Signal Processing, vol. 7, no. 2, pp. 205-220, April 2013. [pdf]
  89. P. Di Lorenzo and A. H. Sayed, “Sparse distributed learning based on diffusion adaptation,” IEEE Trans. Signal Processing, vol. 61, no. 6, pp. 1419-1433, March 2013. [pdf]
  90. S.-Y. Tu and A. H. Sayed, “On the influence of informed agents on learning and adaptation over networks,” IEEE Trans. Signal Processing, vol. 61, no. 6, pp. 1339-1356, March 2013. [pdf]
  91. S.-Y. Tu and A. H. Sayed, “Diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks,” IEEE Trans. Signal Processing, vol. 60, no. 12, pp. 6217-6234, Dec. 2012. [pdf]
  92. X. Zhao and A. H. Sayed, “Performance limits for distributed estimation over LMS adaptive networks,” IEEE Transactions on Signal Processing, vol. 60, no. 10, pp. 5107- 5124, October 2012. [pdf]
  93. J. Chen and A. H. Sayed, “Diffusion adaptation strategies for distributed optimization and learning over networks,” IEEE Trans. Signal Processing, vol. 60, no. 8, pp. 4289-4305, August 2012. [pdf]
  94. J-W. Lee, S-E. Kim, W-J. Song, and A. H. Sayed, “Spatio-temporal diffusion strategies for estimation and detection over networks,” IEEE Transactions on Signal Processing, vol. 60, no. 8, pp. 4017-4034, August 2012. [pdf]
  95. X. Zhao, S-Y. Tu, and A. H. Sayed, “Diffusion adaptation over networks under imperfect information exchange and non-stationary data,” IEEE Transactions on Signal Processing, vol. 60, no. 7, pp. 3460-3475, July 2012. [pdf]
  96. J. Li and A. H. Sayed, “Modeling bee swarming behavior through diffusion adaptation with asymmetric information sharing,” EURASIP Journal on Advances in Signal Processing, 2012:18, doi:10.1186/1687-6180-2012-18, January 2012. [pdf] (award winning article)
  97. S. S. Kozat, A. T. Erdogan, A. C. Singer, and A. H. Sayed, “Transient analysis of adaptive affine combinations,” IEEE Trans. Signal Processing, vol. 59, no. 12, pp. 6227-6232, December 2011. [pdf]
  98. Y. Xia, D. Mandic, and A. H. Sayed, “An adaptive diffusion augmented CLMS algorithm for distributed filtering of noncircular complex signals,” IEEE Signal Processing Letters, vol. 18, no. 11, pp. 659-662, November 2011. [pdf]
  99. A. Bertrand, M. Moonen, and A. H. Sayed, “Diffusion bias-compensated RLS estimation over adaptive networks,” IEEE Transactions on Signal Processing, vol. 59, no. 11, pp. 5212-5224, November 2011. [pdf]
  100. S-Y. Tu and A. H. Sayed, “Mobile adaptive networks,” IEEE J. Selected Topics in Signal Processing, vol. 5, no. 4, pp. 649-664, August 2011. [pdf]
  101. F. Cattivelli and A. H. Sayed, “Modeling bird flight formations using diffusion adaptation,” IEEE Transactions on Signal Processing, vol. 59, no. 5, pp. 2038-2051, May 2011. [pdf]
  102. F. Cattivelli and A. H. Sayed, “Distributed detection over adaptive networks using diffusion adaptation,” IEEE Transactions on Signal Processing, vol. 59, no. 5, pp. 1917-1932, May 2011. [pdf]
  103. F. Cattivelli and A. H. Sayed, “Analysis of spatial and incremental LMS processing for distributed estimation,” IEEE Transactions on Signal Processing, vol. 59, no. 4, pp. 1465-1480, April 2011. [pdf]
  104. N. Takahashi, I. Yamada, and A. H. Sayed, “Diffusion least-mean squares with adaptive combiners: Formulation and performance analysis,” IEEE Trans. Signal Processing, vol. 58, no. 9, pp. 4795-4810, Sep. 2010. [pdf]
  105. S. S. Kozat, A. T. Erdogan, A. C. Singer, and A. H. Sayed, “Unbiased model combinations for adaptive filtering,” IEEE Trans. Signal Processing, vol. 58, no. 8, pp. 4421-4427, August 2010. [pdf]
  106. S. S. Kozat, A. T. Erdogan, A. C. Singer, and A. H. Sayed, “Steady-state MSE performance analysis of mixture approaches to adaptive filtering,” IEEE Trans. Signal Processing, vol. 58, no. 8, pp. 4050-4063, August 2010. [pdf]
  107. F. Cattivelli and A. H. Sayed, “Diffusion LMS strategies for distributed estimation,” IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1035-1048, March 2010. [pdf] (award winning article)
  108. L. Li, C. G. Lopes, J. Chambers, and A. H. Sayed, “Distributed estimation over an adaptive incremental network based on the affine projection algorithm,” IEEE Trans. Signal Processing, vol. 58, no. 1, pp. 151-164, January 2010. [pdf]
  109. C. G. Lopes and A. H. Sayed, ”Diffusion least-mean squares over adaptive networks: Formulation and performance analysis,” IEEE Transactions on Signal Processing, vol. 56, no. 7, pp. 3122-3136, July 2008. [pdf]
  110. F. Cattivelli, C. G. Lopes, and A. H. Sayed, ”Diffusion recursive least-squares for distributed estimation over adaptive networks,” IEEE Transactions on Signal Processing, vol. 56, no. 5, pp. 1865-1877, May 2008. [pdf]
  111. Y. Zhang, N. Li, J. Chambers, and A. H. Sayed, ”Steady state performance analysis of a variable tap-length LMS algorithm,” IEEE Transactions on Signal Processing, vol. 56, no. 2, pp. 839-845, 2008. [pdf]
  112. A. H. Sayed and C. G. Lopes, ”Adaptive processing over distributed networks,” IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences, vol. E90-A, no. 8, pp. 1504-1510, August 2007. [pdf]
  113. C. G. Lopes and A. H. Sayed, ”Incremental adaptive strategies over distributed networks,” IEEE Transactions on Signal Processing, vol. 55, no. 8, pp. 4064-4077, August 2007. [pdf]
  114. J. Arenas-Garcia, A. R. Figueiras-Vidal, and A. H. Sayed, “Mean-square performance of a convex combination of two adaptive filters,” IEEE Transactions on Signal Processing, vol. 54, no. 3, pp. 1078-1090, March 2006. [pdf]
  115. H. C. Shin, W.-J. Song, and A. H. Sayed, “Mean-square performance of data-reusing adaptive algorithms,” IEEE Signal Processing Letters, vol. 12, no. 12, pp. 851-854, December 2005. [pdf]
  116. A.Tarighat and A. H. Sayed, “Least-mean-phase (LMP) adaptive filters with application to communications systems,” IEEE Signal Processing Letters, vol. 11, no. 2, part II, pp.220-223, Feb. 2004. [pdf]
  117. H-C. Shin, A. H. Sayed, and W-J.Song, “Variable step-size NLMS and affine projection algorithms,” IEEE Signal Processing Letters, vol. 11, no. 2, part II, pp. 132-135, Feb. 2004. [pdf]
  118. H-C. Shin and A. H. Sayed, “Mean-square performance of a family of affine projection algorithms,” IEEE Transactions on Signal Processing, vol. 52, no. 1, pp. 90-102 Jan. 2004. [pdf]
  119. N. R. Yousef and A. H. Sayed, “Fixed-point steady-state analysis of adaptive filters,” International Journal on Adaptive Control and Signal Processing, vol. 17, no. 3, pp. 237-258, 2003. [pdf]
  120. T. Y. Al-Naffouri and A. H. Sayed, “Transient analysis of data-normalized adaptive filters,” IEEE Transactions on Signal Processing, vol. 51, no. 3, pp. 639-652, March 2003. [pdf]
  121. T. Y. Al-Naffouri and A. H. Sayed, “Transient analysis of adaptive filters with error nonlinearities,” IEEE Transactions on Signal Processing, vol. 51, no. 3, pp. 653-663, March 2003. [pdf]
  122. N. R. Yousef and A. H. Sayed, “Ability of adaptive filters to track carrier offsets and random channel nonstationarities,” IEEE Transactions on Signal Processing, vol. 50, no. 7, pp. 1533-1544, Jul. 2002. [pdf]
  123. R. Merched and A. H. Sayed, “Extended fast fixed order RLS adaptive filters,” IEEE Transactions on Signal Processing, vol. 49, no. 12, pp. 3015-3031, Dec. 2001. [pdf]
  124. T. Y. Al-Naffouri and A. H. Sayed, “Adaptive filters with error nonlinearities: Mean-square analysis and optimum design,” EURASIP Journal on Applied Signal Processing, no. 4, pp. 192-205, Dec. 2001. [pdf]
  125. R. Merched and A. H. Sayed, “RLS-Laguerre lattice adaptive filtering: Error-feedback, normalized and array-based algorithms,” IEEE Transactions on Signal Processing, vol. 49, no. 11, pp. 2565-2576, Nov. 2001. [pdf]
  126. N. R. Yousef and A. H. Sayed, “A unified approach to the steady-state and tracking analysis of adaptive filters,” IEEE Transactions on Signal Processing, vol. 49, no. 2, pp. 314-324, February 2001. [pdf]
  127. R. Merched and A. H. Sayed, “Order-recursive RLS Laguerre adaptive filtering,” IEEE Transactions on Signal Processing, vol. 48, no. 11, pp. 3000-3010, November 2000. [pdf]
  128. N. R. Yousef and A. H. Sayed, “Steady-state and tracking analyses of the sign algorithm without the explicit use of the independence assumption,” IEEE Signal Processing Letters, vol. 7, no. 11, pp. 307-309, November 2000. [pdf]
  129. R. Merched and A. H. Sayed, “An embedding approach to frequency-domain and subband adaptive filtering,” IEEE Transactions on Signal Processing, vol. 48, no. 9, pp. 2607-2619, September 2000. [pdf]
  130. V. H. Nascimento and A. H. Sayed, “On the learning mechanism of adaptive filters,” IEEE Transactions on Signal Processing, vol. 48, no. 6, pp. 1609-1625, June 2000. [pdf] (award winning article)
  131. M. Rupp and A. H. Sayed, “On the convergence of blind adaptive equalizers for constant-modulus signals,” IEEE Transactions on Communications, vol. 48, no. 5, pp. 795-803, May 2000. [pdf ]
  132. J. Mai and A. H. Sayed, “A feedback approach to the steady-state performance of fractionally-spaced blind adaptive equalizers,” IEEE Transactions on Signal Processing, vol. 48, no. 1, pp. 80-91, January 2000. [pdf]
  133. V. H. Nascimento and A. H. Sayed, “Unbiased and stable leakage-based adaptive filters,” IEEE Transactions on Signal Processing, vol. 47, no. 12, pp. 3261-3276, December 1999. [pdf]
  134. M. Rupp and A. H. Sayed, “Robust FxLMS algorithms with improved convergence performance,” IEEE Transactions on Speech and Audio Processing, vol. 6, no. 1, pp. 78-85, Jan. 1998. [pdf]
  135. M. Rupp and A. H. Sayed, “Supervised learning of Perceptron and output feedback dynamic networks: A feedback analysis via the small gain theorem,” IEEE Transactions on Neural Networks, vol. 8, no. 3, pp. 612-622, May 1997. [pdf ]
  136. S. Haykin, A. H. Sayed, J. Zeidler, P. Wei, and P. Yee, “Adaptive tracking of linear time-variant systems by extended RLS algorithms,” IEEE Transactions on Signal Processing, vol. 45, no. 5, pp. 1118-1128, May 1997. [pdf]
  137. A. H. Sayed and M. Rupp, “An l_2 stable feedback structure for nonlinear adaptive filtering and identification,” Automatica, vol. 33, no. 1, pp. 13-30, Jan. 1997. [pdf ]
  138. A. H. Sayed and M. Rupp, “Error energy bounds for adaptive gradient algorithms,” IEEE Transactions on Signal Processing, vol. 44, no. 8, pp. 1982-1989, Aug. 1996. [pdf]
  139. M. Rupp and A. H. Sayed, “A time-domain feedback analysis of filtered-error adaptive gradient algorithms,” IEEE Transactions on Signal Processing, vol. 44, no. 6, pp. 1428-1439, Jun. 1996. [pdf]
  140. M. Rupp and A. H. Sayed, “Robustness of Gauss-Newton recursive methods: A deterministic feedback analysis,” Signal Processing, vol. 50, no. 3, pp. 165-188, May 1996. [pdf]
  141. A. H. Sayed and T. Kailath, “A state-space approach to adaptive RLS filtering,” IEEE Signal Processing Magazine, vol. 11, no. 3, pp. 18-60, Jul. 1994. [pdf] [typos](award winning article)


ADAPTIVE NETWORKS AND DIFFUSION STRATEGIES
  1. M. Carpentiero, V. Matta, and A. H. Sayed, "Compressed regression over adaptive networks," to appear in IEEE Trans.  Signal and Information Processing over Networks, 2024 [arXiv].  
  2. V. Bordignon, M. Kayaalp, V. Matta, and A. H.  Sayed, "Social learning with non-Bayesian local updates,'' Proc. EUSIPCO, pp. 1-5, Helsinki, Finland, Sep. 2023. [pdf]
  3. S. Vlaski, S. Kar, A. H. Sayed, and J. M. F. Moura, "Networked signal and information processing,"  IEEE Signal Processing Magazine, vol. 40, no. 5, pp. 92-105, July 2023. [pdf] [arXiv]
  4. P. Hu, V. Bordignon, S. Vlaski, and A. H. Sayed,  "Optimal aggregation strategies for social learning over graphs,''  IEEE Trans. Information Theory,  vol. 69, no. 9, pp.  6048-6070, Sep. 2023.  [pdf] [arXiv]
  5. M. Kayaalp, F. Ghadieh, and A. H. Sayed, ``Policy evaluation in decentralized POMDPs with belief sharing,'' IEEE Open J. Control Systems, vol. 2, pp. 125-145, June 2023. [pdf] [arXiv]
  6. R. Nassif, S. Vlaski, M. Carpentiero, V. Matta, M. Antonini, and A. H. Sayed, "Quantization for decentralized learning under subspace constraints," IEEE Trans. Signal Processing, vol. 71, pp. 2320-2335,  June 2023. [pdf][arXiv]
  7. E. Rizk, S. Vlaski, and A. H. Sayed,  "Local graph-homomorphic processing for privatized distributed systems,'' Proc. IEEE ICASSP, pp. 1-5, Rhodes Island, Greece, June 2023. [pdf]
  8. M. Cemri, V. Bordignon, M. Kayaalp, V. Shumovskaia, and A. H. Sayed, "Asynchronous social learning,''  Proc. IEEE ICASSP, pp. 1-5, Rhodes Island, Greece, June 2023. [pdf]
  9. V. Bordignon, S. Vlaski, V. Matta, and A. H.  Sayed, "Learning from heterogeneous data based on social interactions over graphs," IEEE Trans. Information Theory, vol. 69, no. 5, pp. 3347-3371, May 2023. [pdf] [arXiv]
  10. V. Bordignon, V. Matta, and A. H.  Sayed, "Partial information sharing over social learning networks,''  IEEE Trans. Information Theory, vol. 69, no. 3, pp. 2033-2058, March 2023. [pdf] [arXiv]
  11. M. Cirillo, V. Matta, and A. H. Sayed, "Estimating the topology of preferential attachment graphs under partial observability,''  IEEE Trans. Information Theory, vol. 69, no. 2, pp. 1355-1380, Feb. 2023. [pdf]
  12. F. Huang, S. Zhang,  J. Zhang, H. Chen,  and A. H.  Sayed,  "Diffusion Bayesian decorrelation algorithms over networks,'' IEEE Trans. Signal Process.,  vol. 71, pp.  571-586,   Feb. 2023. [pdf]
  13. V. Shumovskaia, K. Ntemos, S. Vlaski, and A. H.  Sayed, "Explainability and graph learning from social interactions,'' IEEE Trans. Signal and Information Processing over Networks,  vol. 8, pp. 946-959, 2022, DOI  10.1109/TSIPN.2022.3223805. [pdf] [arXiv]
  14. M. Issa, R. Nassif, E. Rizk, and A. H. Sayed, "Decentralized semi-supervised learning over multitask graphs,'' Proc. Asilomar Conf. Signals, Systems, and Computers, pp. 1-7, Oct.-Nov. 2022. [pdf]
  15.   Z. Wang, F. Pavan, and A. H. Sayed, "Decentralized GAN training through diffusion learning," Proc. IEEE MLSP, pp. 1-5, Xian, China, August 2022.  [pdf]  
  16. Y. Inan, M.  Kayaalp, E. Telatar, and A. H. Sayed,  "Social learning under randomized collaborations,'' Proc. IEEE Int. Symp. Information Theory (ISIT), pp. 1-5,   Helsinki, Finland, June 2022 [pdf]
  17. E. Rizk, S. Vlaski, and A. H. Sayed, "Federated learning under importance sampling,''  IEEE Trans.  Signal Processing, vol. 70, pp. 5381-5396, 2022, DOI 10.1109/TSP.2022.3210365.  [pdf] [arXiv]
  18. S. Vlaski, L. Vanderberghe, and A. H. Sayed, "Regularized diffusion adaptation via conjugate smoothing,'' IEEE Trans. Automatic Control, vol. 67, no. 5, pp. 2343-2358, May 2022. [pdf][arXiv]
  19. M. Kayaalp, S. Vlaski, and A. H. Sayed, "Dif-MAML: Decentralized multi-agent meta-learning,''  IEEE Open Journal of Signal Processing, vol. 3, pp. 71-93, January 2022.  [pdf] [arXiv]
  20. S. Alghunaim, Q. Lyu, M. Yan, and A. H. Sayed, ``Dual consensus proximal algorithm for multi-agent sharing problems,'' IEEE Trans. Signal Processing, vol. 69, pp. 5568-5579, 2021. [pdf]
  21. S. Zhang, F. Zhang, H. Chen, R. Merched, and A. H. Sayed,  "Frequency-domain diffusion adaptation over networks,''  IEEE Trans. Signal Processing, vol. 69, pp. 5419-5430, 2021. [pdf]
  22. V. Bordignon, V. Matta, and A. H. Sayed,  "Adaptive social learning,'' IEEE Trans. Information Theory,  vol. 67, no. 9, pp. 6053-6081,  Sep. 2021. [pdf] [arXiv]
  23. S. Vlaski and A. H. Sayed, "Competing adaptive networks,'' Proc. IEEE Statistical Signal Processing (SSP) Workshop, pp. 71-75, Rio de Janeiro, Brazil, July 2021. [pdf][arXiv]
  24. H. Salami, B. Ying, and A. H.  Sayed, "Belief control strategies for interactions over weakly-connected graphs,''  IEEE Open Journal of Signal Processing, vol. 2, pp. 265-279, 2021. [pdf][arXiv]  
  25. S. A. Alghunaim,  E. K. Ryu, K. Yuan,  and A. H. Sayed, "Decentralized proximal gradient algorithms with linear convergence rates,''  IEEE Trans. Automatic Control,  vol. 66, no. 6, pp. 2787-2794, June 2021. [pdf] [arXiv]
  26. S. Marano and A. H.  Sayed, "Decision learning and adaptation over multi-task networks,''  IEEE Trans. Signal Processing, vol. 69, pp. 2873-2887, May 2021. [pdf] [arXiv]  
  27. L. Cassano, K. Yuan, and A. H.  Sayed, "Multi-agent fully decentralized value function learning with linear convergence rates,''  IEEE Transactions on Automatic Control,  vol. 66, no. 4, pp. 1497-1512, April 2021. [pdf] [arXiv]
  28. S. Vlaski and A. H. Sayed,  "Distributed learning in non-convex environments – Part II: Polynomial escape from saddle points,'' IEEE Trans. Signal Processing,  vol. 69, pp. 1257-1270, 2021. [pdf] [arXiv]
  29. S. Vlaski and A. H. Sayed, "Distributed learning in non-convex environments – Part I: Agreement at a linear rate,'' IEEE Trans. Signal Processing, vol. 69, pp. 1242-1256, 2021. [pdf] [arXiv]
  30. V. Matta, A. Santos, and A. H. Sayed, "Graph learning under partial observability,"  Proc. IEEE, vol. 108, no. 11, pp. 2049-2066,  Nov. 2020. [pdf] [arXiv]
  31. S. Vlaski and A. H. Sayed, "Second-order guarantees in centralized, federated, and decentralized nonconvex optimization,'' Communications in Information and Systems, vol. 20, no. 3, pp. 353-388, 2020. [pdf] [arXiv]
  32. D. Jin, J. Chen, C. Richard, J. Chen, and A. H. Sayed, "Convex combination of diffusion strategies over networks,''  IEEE Transactions on Signal and Information Processing over Networks, vol. 6, pp. 714-731, Nov. 2020. [pdf]
  33. S. A. Alghunaim, K. Yuan, and A. H. Sayed, ``A proximal diffusion strategy for multi-agent optimization with sparse affine constraints,'' IEEE Trans. Automatic Control,  vol. 65, no. 11, pp. 4554-4567, November 2020. [pdf] [arXiv]
  34. F. Hua, R. Nassif, C. Richard,  H. Wang, and A. H.  Sayed, ``Diffusion LMS with communication delays: Stability and performance analysis,'' IEEE Signal Processing Letters, vol. 27, pp. 730-734, 2020.  [pdf] [arXiv]
  35. K. Yuan, S. Alghunaim, B. Ying, and A. H. Sayed, "On the influence of bias-correction on distributed stochastic optimization,'' IEEE Trans. Signal Processing, vol. 68, pp. 4352-4367, 2020. [pdf] [arXiv]
  36. R. Nassif, S. Vlaski, and A. H. Sayed, ``Adaptation and learning over networks under subspace constraints – Part II: Performance analysis,''  IEEE Trans. Signal Processing, vol. 68, pp. 2948-2962, 2020. [pdf] [arXiv]
  37. R. Liegeois, A. Santos, V. Matta, D. Van De Ville, and A. H. Sayed, ``Revisiting correlation-based functional connectivity and its relationship with structural connectivity,''  Network Neuroscience, pp. 1-17, August 2020. [online] [pdf] [supp]
  38. V. Matta, V. Bordignon, A. Santos, and A. H. Sayed,  "Interplay between topology and social learning over weak graphs,'' IEEE Open Journal of Signal Processing, vol. 1, pp. 99-119, July 2020. [pdf] [arXiv]
  39. S. Alghunaim and A. H. Sayed, ``Linear convergence of primal-dual gradient methods and their performance in distributed optimization,'' Automatica, vol. 117, pp. 109003, July 2020. [pdf] [arXiv]
  40. R. Nassif, S. Vlaski, C. Richard, J. Chen, and A. H. Sayed, ``Multitask learning over graphs,'' IEEE Signal Processing Magazine, vol. 37, no. 3, pp. 14-25, May 2020. [pdf] [arXiv]
  41. R. Nassif, S. Vlaski, C. Richard, and A. H. Sayed,  "Learning over multitask graphs – Part II: Performance analysis,'' IEEE Open Journal of Signal Processing, vol. 1, pp. 46-63, April 2020. [pdf] [arXiv]
  42. R. Nassif, S. Vlaski, C. Richard, and A. H. Sayed,  "Learning over multitask graphs – Part I: Stability Analysis,''  IEEE Open Journal of Signal Processing, vol. 1, pp. 28-45, April 2020. [pdf] [arXiv]
  43. X. Mao, K. Yuan, Y. Hu, Y. Gu, A. H. Sayed, and W. Yin, ``Walkman: A communication-efficient random-walk algorithm for decentralized optimization,'' IEEE Trans. Signal Processing, vol. 68, pp. 2513-2528, Mar. 2020.  [pdf] [arXiv]
  44. D. Jin,  J. Chen, C. Richard, J. Chen, and A. H. Sayed, ``Affine combination of diffusion strategies over networks,'' to appear in IEEE Transactions on Signal Processing,  vol. 68, no. 1, pp. 2087-2104, Feb. 2020. [pdf] [arXiv]
  45. B. Ying, K. Yuan, and A. H. Sayed, "Variance-reduced stochastic learning under random reshuffling,''  IEEE Transactions on Signal Processing, vol. 68, pp. 1390-1408, Feb. 2020. [pdf]  [arXiv]
  46. R. Nassif, S. Vlaski, and A. H. Sayed, ``Adaptation and learning over networks under subspace constraints – Part I: Stability analysis,'' IEEE Trans. Signal Processing, vol. 68, pp. 1346-1360, Jan. 2020. [pdf]  [arXiv]
  47. F. Hua, R. Nassif, C. Richard, H. Wang, and A. H Sayed, ``Online distributed learning over graphs with multitask graph-filter models,''  IEEE Transactions on Signal and Information Processing over Networks, vol. 6, pp. 63-77, Jan. 2020. [pdf] [arXiv]
  48. A. Santos, V. Matta, and A. H. Sayed, "Local tomography of large networks under the low-observability regime,'' IEEE Transactions on Information Theory, vol. 66, no. 1, pp. 587-613, January 2020. [pdf] [arXiv]
  49. S. A. Alghunaim and A. H. Sayed, ``Distributed coupled multi-agent stochastic optimization,'' IEEE Trans. Automatic Control,  vol. 65, no. 1, pp. 175-190, January 2020. [pdf] [arXiv]
  50. B. Ying, K. Yuan, and A. H. Sayed, ``Dynamic average diffusion with randomized coordinate updates,''  IEEE Transactions on Signal and Image Processing over Networks, vol. 5. no. 4, pp. 753-767, December 2019.  [pdf] [arXiv]
  51. S. Marano and A. H. Sayed, ``Detection under one-bit messaging over adaptive networks,'' to appear in IEEE Trans. Information Theory,  vol. 65, no. 10, pp. 6519-6538, October 2019. [pdf] [arXiv]
  52. S. Khawatmi, A. Zoubir, and A. H. Sayed, ``Decentralized decision-making over multi-task networks,''  Signal Processing, vol. 160, pp. 229-236, July 2019.  [pdf] [arXiv]
  53. B. Ying, K. Yuan, and A. H. Sayed, "Supervised learning under distributed features,"  IEEE Trans. Signal Processing,  vol. 67, no. 4, pp. 977-992,  February 2019. [pdf]  [arXiv]
  54. R. Nassif, S. Vlaski, C. Richard, and A. H. Sayed, ``A regularization framework for learning over multitask graphs,''  IEEE Signal Processing Letters,  vol. 26, no. 2, pp. 297-301, February 2019. [pdf]
  55. K. Yuan, B. Ying, X. Zhao, and A. H. Sayed, ``Exact diffusion for distributed optimization and learning -- Part I: Algorithm development,''  IEEE Trans. Signal Processing,  vol. 67, no. 3, pp. 708-723, Feb. 2019.  [pdf]  [arXiv]
  56. K. Yuan, B. Ying, X. Zhao, and A. H. Sayed, ``Exact diffusion for distributed optimization and learning -- Part II: Convergence analysis,''  IEEE Trans. Signal Processing,  vol. 67, no. 3, pp. 724-739, Feb. 2019.  [pdf] [arXiv]
  57. K. Yuan, B. Ying, J. Liu, and A. H. Sayed, ``Variance-reduced stochastic learning by networked agents under random reshuffling,''  IEEE Trans. Signal Processing, vol. 67, no. 2, pp. 351-366, Jan. 2019.  [pdf] [arXiv]
  58. V. Matta and A. H. Sayed, ``Consistent tomography under partial observations over adaptive networks,"  IEEE Trans. Information Theory,  vol. 65, no. 1, pp. 622-646, Jan. 2019.  [pdf] [arXiv]
  59. T. Wu, K. Yuan, Q. Ling, W. Yin, and A. H. Sayed, ``Decentralized consensus optimization with asynchrony and delays,'' IEEE Trans. Signal and Information Processing over Networks, vol. 4, no. 2, pp. 293-307, June 2018. [pdf]  [arXiv]
  60. B. Ying and A. H. Sayed, “Performance limits of stochastic sub-gradient learning, Part I: Single-agent case,” Signal Processing, vol. 144, pp. 271-282, March 2018. [pdf] [arXiv]
  61. B. Ying and A. H. Sayed, “Performance limits of stochastic sub-gradient learning, Part II: Multi-agent case,”  Signal Processing, vol. 144, pp. 253-264, March 2018. [pdf] [arXiv]
  62. C. Wang, Y. Zhang, B. Ying, and A. H. Sayed, ``Coordinate-descent diffusion learning by networked agents,'' IEEE Trans. Signal Process., vol. 66, no. 2, pp. 352-367, Jan. 2018.  [pdf]   [arXiv]
  63. R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed, “Diffusion LMS for multitask problems with local linear equality constraints,” IEEE Trans. Signal Processing, vol. 65, no. 19, pp. 4979–4993, Oct. 2017. [pdf] [arXiv]
  64. S. Al-Sayed, A. Zoubir, and A. H. Sayed, “Robust distributed estimation by networked agents,” IEEE Trans. Signal Processing, vol. 65, no. 15, pp. 3909-3921, August 2017. [pdf]
  65. C.-K. Yu, M. van der Schaar, and A. H. Sayed, “Distributed learning for stochastic generalized Nash equilibrium problems,” IEEE Trans. Signal Processing, vol. 65, no. 15, pp. 3893-3908, August 2017. [pdf] [arXiv]
  66. S. Khawatmi, A. H. Sayed, and A. Zoubir, “Decentralized clustering and linking by networked agents,” IEEE Trans. Signal Process., vol. 65, no. 13, pp. 3526-3537, July 2017. [pdf] [arXiv]
  67. H. Salami, B. Ying, and A. H. Sayed, “Social learning over weakly-connected graphs,” IEEE Trans. Signal and Information Processing over Networks, vol. 3, no. 2, pp. 222-238, June 2017. [pdf] [arXiv]
  68. Chung-Kai Yu, Multi-Objective Learning over Adaptive Networks, Ph.D. Dissertation, Electrical Engineering Department, UCLA, June 2017.
  69. J. Chen, C. Richard, and A. H. Sayed, “Multitask diffusion adaptation over networks with common latent representations,” IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 3, pp. 563-579, April 2017. [pdf] [arXiv]
  70. R. Nassif, A. Ferrari, C. Richard, and A. H. Sayed, “Proximal multitask learning over networks with sparsity-inducing coregularization,” IEEE Trans. Signal Processing, vol. 64, no. 23, pp. 6329-6344, Dec. 2016. [pdf] [arXiv]
  71. V. Matta, P. Braca, S. Marano, and A. H. Sayed, “Distributed detection over adaptive networks: Refined asymptotics and the role of connectivity,” in IEEE Trans. Signal and Information Processing over Networks, vol. 2, no. 4, pp. 442–460, Dec. 2016. [pdf] [arXiv]
  72. Z. J. Towfic, J. Chen, and A. H. Sayed, “Excess-risk of distributed stochastic learners,” IEEE Trans. Information Theory, vol. 62, no. 10, pp. 5753-5785, Oct. 2016. [pdf] [arXiv]
  73. M. R. Gholami, M. Jansson, E. G. Strom, and A. H. Sayed, “Diffusion estimation over cooperative multi-agent networks with missing data,” IEEE Trans. Signal and Information Process. over Networks, vol. 2, no. 3, pp. 276-289, Sep. 2016. [pdf] [arXiv]
  74. V. Matta, P. Braca, S. Marano, and A. H. Sayed, “Diffusion-based adaptive distributed detection: Steady-state performance in the slow adaptation regime,” IEEE Trans. Information Theory, vol. 62, no. 8, pp. 4710-4732, August 2016. [pdf] [arXiv]
  75. R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed, “Multitask diffusion adaptation over asynchronous networks,” IEEE Trans. Signal Processing, vol. 64, no. 11, pp. 2835-2850, June 2016. [pdf] [arXiv]
  76. R. Abdolee, B. Champaign, and A. H. Sayed, “Diffusion adaptation over multi-agent networks with wireless link impairments,” IEEE Trans. Mobile Computing, vol. 15, no. 6, pp. 1362-1376, June 2016. [pdf] [arXiv]
  77. B. Ying and A. H. Sayed, “Information exchange and learning dynamics over weakly-connected adaptive networks,” IEEE Trans. Information Theory, vol. 62, no. 3, pp. 1396-1414, March 2016. [pdf] [arXiv]
  78. X. Zhao and A. H. Sayed, “Distributed clustering and learning over networks,” IEEE Trans. Signal Process., vol. 63, no. 13, pp. 3285-3300, July 2015. [pdf] [arXiv]
  79. Z. J. Towfic and A. H. Sayed, “Stability and performance limits of adaptive primal-dual networks,”IEEE Trans. Signal Process., vol. 63, no. 11, pp. 2888-2903, June 2015. [pdf] [arXiv]
  80. J. Chen and A. H. Sayed, “On the learning behavior of adaptive networks — Part I: Transient analysis,” IEEE Trans. Information Theory, vol. 61, no. 6, pp. 3487-3517, June 2015. [pdf] [arXiv]
  81. J. Chen and A. H. Sayed, “On the learning behavior of adaptive networks — Part II: Performance analysis,” IEEE Trans. Information Theory, vol. 61, no. 6, pp. 3518-3548, June 2015. [pdf] [arXiv]
  82. J. Chen, C. Richard, and A. H. Sayed, “Diffusion LMS over multitask networks,” IEEE Trans. Signal Process., vol. 63, no. 11, pp. 2733-2748, June 2015. [pdf] [arXiv]
  83. S. V. Macua, J. Chen, S. Zazo, and A. H. Sayed, “Distributed policy evaluation under multiple behavior strategies,” IEEE Trans. Aut. Control, vol. 60, no. 5, pp. 1260-1274, May 2015. [pdf] [arXiv]
  84. C-K. Yu, M. van der Schaar, and A. H. Sayed, “Information-sharing over adaptive networks with self-interested agents,” IEEE Trans. Signal and Information Processing over Networks, vol. 1, no. 1, pp. 2–19, March 2015. [pdf] [arXiv]
  85. J. Chen, Z. J. Towfic, and A. H. Sayed, “Dictionary learning over distributed models,” IEEE Trans. Signal Process., vol. 63, no. 4, pp. 1001-1016, February 2015. [pdf] [arXiv]
  86. X. Zhao and A. H. Sayed, “Asynchronous adaptation and learning over networks — Part I: Modeling and stability analysis,” IEEE Trans. Signal Process., vol. 63, no. 4, pp. 811-826, February 2015. [pdf] [arXiv]
  87. X. Zhao and A. H. Sayed, “Asynchronous adaptation and learning over networks — Part II: Performance analysis,” IEEE Trans. Signal Process., vol. 63, no. 4, pp. 827-842, February 2015. [pdf] [arXiv]
  88. X. Zhao and A. H. Sayed, “Asynchronous adaptation and learning over networks — Part III: Comparison analysis,” IEEE Trans. Signal Process., vol. 63, no. 4, pp. 843-858, February 2015. [pdf] [arXiv]
  89. J. Chen, C. Richard, and A. H. Sayed, “Multitask diffusion adaptation over networks,” IEEE Trans. Signal Processing, vol. 62, no. 16, pp. 4129-4144, August 2014. [pdf]
  90. Z. J. Towfic and A. H. Sayed, “Adaptive penalty-based distributed stochastic convex optimization,” IEEE Trans. Signal Processing, vol. 62, no. 15, pp. 3924-3938, August 2014. [pdf]
  91. A. H. Sayed, “Adaptation, learning, and optimization over networks,” Foundations and Trends in Machine Learning, vol. 7, issue 4-5, pp. 311-801, NOW Publishers, Boston-Delft, 2014. [pdf]
  92. A. H. Sayed, “Adaptive networks,” Proceedings of the IEEE, vol. 102, no. 4, pp. 460-497, April 2014. [pdf]
  93. S.-Y. Tu and A. H. Sayed, “Distributed decision-making over adaptive networks,” IEEE Trans. Signal Processing, vol. 62, no. 5, pp. 1054-1069, March 2014. [pdf]
  94. R. Abdolee, B. Champagne, and A. H. Sayed, “Estimation of space-time varying parameters using a diffusion LMS algorithm,” IEEE Trans. Signal Processing, vol. 62, no. 2, pp. 403-418, Jan. 2014. [pdf]
  95. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Distributed spectrum estimation for small cell networks based on sparse diffusion adaptation,” IEEE Signal Processing Letters, vol. 20, no. 12, pp. 1261-1265, Dec. 2013. [pdf]
  96. Z. J. Towfic, J. Chen, and A. H. Sayed, “On distributed online classification in the midst of concept drifts,” Neurocomputing, vol. 112, pp. 139-152, July 2013. [online]
  97. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Bio-inspired decentralized radio access based on swarming mechanisms over adaptive networks,” IEEE Trans. Signal Processing, vol. 61, no. 12, pp. 3183-3197, June 2013. [pdf]
  98. A. H. Sayed, S.-Y. Tu, J. Chen, X. Zhao, and Z. J. Towfic, “Diffusion strategies for adaptation and learning over networks,” IEEE Signal Processing Magazine, vol. 30, no. 3, pp. 155-171, May 2013. [pdf]
  99. J. Chen and A. H. Sayed, “Distributed Pareto optimization via diffusion strategies,” IEEE J. Selected Topics in Signal Processing, vol. 7, no. 2, pp. 205-220, April 2013. [pdf]
  100. P. Di Lorenzo and A. H. Sayed, “Sparse distributed learning based on diffusion adaptation,” IEEE Trans. Signal Processing, vol. 61, no. 6, pp. 1419-1433, March 2013. [pdf]
  101. S.-Y. Tu and A. H. Sayed, “On the influence of informed agents on learning and adaptation over networks,” IEEE Trans. Signal Processing, vol. 61, no. 6, pp. 1339-1356, March 2013. [pdf]
  102. S.-Y. Tu and A. H. Sayed, “Diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks,” IEEE Trans. Signal Processing, vol. 60, no. 12, pp. 6217-6234, Dec. 2012. [pdf]
  103. X. Zhao and A. H. Sayed, “Performance limits for distributed estimation over LMS adaptive networks,” IEEE Transactions on Signal Processing, vol. 60, no. 10, pp. 5107- 5124, October 2012. [pdf]
  104. J. Chen and A. H. Sayed, “Diffusion adaptation strategies for distributed optimization and learning over networks,” IEEE Trans. Signal Processing, vol. 60, no. 8, pp. 4289-4305, August 2012. [pdf]
  105. J-W. Lee, S-E. Kim, W-J. Song, and A. H. Sayed, “Spatio-temporal diffusion strategies for estimation and detection over networks,” IEEE Transactions on Signal Processing, vol. 60, no. 8, pp. 4017-4034, August 2012. [pdf]
  106. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Decentralized resource assignment in cognitive networks based on swarming mechanisms over random graphs,” IEEE Transactions on Signal Processing, vol. 60, no. 7, pp. 3755-3769, July 2012. [pdf]
  107. X. Zhao, S-Y. Tu, and A. H. Sayed, “Diffusion adaptation over networks under imperfect information exchange and non-stationary data,” IEEE Transactions on Signal Processing, vol. 60, no. 7, pp. 3460-3475, July 2012. [pdf]
  108. J. Li and A. H. Sayed, “Modeling bee swarming behavior through diffusion adaptation with asymmetric information sharing,” EURASIP Journal on Advances in Signal Processing, 2012:18, doi:10.1186/1687-6180-2012-18, January 2012. [pdf] (award winning article)
  109. Y. Xia, D. Mandic, and A. H. Sayed, “An adaptive diffusion augmented CLMS algorithm for distributed filtering of noncircular complex signals,” IEEE Signal Processing Letters, vol. 18, no. 11, pp. 659-662, November 2011. [pdf]
  110. A. Bertrand, M. Moonen, and A. H. Sayed, “Diffusion bias-compensated RLS estimation over adaptive networks,” IEEE Transactions on Signal Processing, vol. 59, no. 11, pp. 5212-5224, November 2011. [pdf]
  111. S-Y. Tu and A. H. Sayed, “Mobile adaptive networks,” IEEE J. Selected Topics in Signal Processing, vol. 5, no. 4, pp. 649-664, August 2011. [pdf]
  112. F. Cattivelli and A. H. Sayed, “Modeling bird flight formations using diffusion adaptation,” IEEE Transactions on Signal Processing, vol. 59, no. 5, pp. 2038-2051, May 2011. [pdf]
  113. F. Cattivelli and A. H. Sayed, “Distributed detection over adaptive networks using diffusion adaptation,” IEEE Transactions on Signal Processing, vol. 59, no. 5, pp. 1917-1932, May 2011. [pdf]
  114. F. Cattivelli and A. H. Sayed, “Analysis of spatial and incremental LMS processing for distributed estimation,” IEEE Transactions on Signal Processing, vol. 59, no. 4, pp. 1465-1480, April 2011. [pdf]
  115. F. Cattivelli and A. H. Sayed, “Diffusion strategies for distributed Kalman filtering and smoothing,” IEEE Transactions on Automatic Control, vol. 55, no. 9, pp. 2069-2084, September 2010. [pdf]
  116. N. Takahashi, I. Yamada, and A. H. Sayed, “Diffusion least-mean squares with adaptive combiners: Formulation and performance analysis,” IEEE Trans. Signal Processing, vol. 58, no. 9, pp. 4795-4810, Sep. 2010. [pdf]
  117. F. Cattivelli and A. H. Sayed, “Diffusion LMS strategies for distributed estimation,” IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1035-1048, March 2010. [pdf] (award winning article)
  118. L. Li, C. G. Lopes, J. Chambers, and A. H. Sayed, “Distributed estimation over an adaptive incremental network based on the affine projection algorithm,” IEEE Trans. Signal Processing, vol. 58, no. 1, pp. 151-164, January 2010. [pdf]
  119. Z. Quan, W. Kaiser, and A. H. Sayed, “Innovations diffusion: A spatial sampling scheme for distributed estimation and detection,” IEEE Transactions on Signal Processing, vol. 57, no. 2, pp. 738-751, February 2009. [pdf]
  120. C. G. Lopes and A. H. Sayed, ”Diffusion least-mean squares over adaptive networks: Formulation and performance analysis,” IEEE Transactions on Signal Processing, vol. 56, no. 7, pp. 3122-3136, July 2008. [pdf]
  121. F. Cattivelli, C. G. Lopes, and A. H. Sayed, ”Diffusion recursive least-squares for distributed estimation over adaptive networks,” IEEE Transactions on Signal Processing, vol. 56, no. 5, pp. 1865-1877, May 2008. [pdf]
  122. A. H. Sayed and C. G. Lopes, ”Adaptive processing over distributed networks,” IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences, vol. E90-A, no. 8, pp. 1504-1510, August 2007. [pdf]
  123. C. G. Lopes and A. H. Sayed, ”Incremental adaptive strategies over distributed networks,” IEEE Transactions on Signal Processing, vol. 55, no. 8, pp. 4064-4077, August 2007. [pdf]


BIOLOGICAL NETWORKS
  1. R. Liegeois, A. Santos, V. Matta, D. Van De Ville, and A. H. Sayed, ``Revisiting correlation-based functional connectivity and its relationship with structural connectivity,''  Network Neuroscience, pp. 1-17, August 2020. [online] [pdf] [supp]
  2. S.-Y. Tu and A. H. Sayed, “Distributed decision-making over adaptive networks,” IEEE Trans. Signal Processing, vol. 62, no. 5, pp. 1054-1069, March 2014. [pdf]
  3. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Bio-inspired decentralized radio access based on swarming mechanisms over adaptive networks,” IEEE Trans. Signal Processing, vol. 61, no. 12, pp. 3183-3197, June 2013. [pdf]
  4. A. H. Sayed, S.-Y. Tu, J. Chen, X. Zhao, and Z. J. Towfic, “Diffusion strategies for adaptation and learning over networks,” IEEE Signal Processing Magazine, vol. 30, no. 3, pp. 155-171, May 2013. [pdf]
  5. Y.-J. Shin, K.-Y. Chen, A. H. Sayed, B. Hencey, and X. Shen, “Post-translational regulation enables robust p53 regulation,” BMC Systems Biology, vol. 7:83, pp.1-12, doi:10.1186/1752-0509-7-83, 2013. [pdf] [online]
  6. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Decentralized resource assignment in cognitive networks based on swarming mechanisms over random graphs,” IEEE Transactions on Signal Processing, vol. 60, no. 7, pp. 3755-3769, July 2012. [pdf]
  7. Y.-J.Shin, A. H. Sayed, and X. Shen, “Adaptive models for gene networks,” PLoS ONE, 7(2): e31657. doi:10.1371/journal.pone.0031657, February 2012. [online]
  8. J. Li and A. H. Sayed, “Modeling bee swarming behavior through diffusion adaptation with asymmetric information sharing,” EURASIP Journal on Advances in Signal Processing, 2012:18, doi:10.1186/1687-6180-2012-18, January 2012. [pdf] (award winning article)
  9. A. Zoubir, V. Krishnamurthy, and A. H. Sayed, “Signal processing theory and methods,” IEEE Signal Processing Magazine,, vol. 28, no. 5, pp. 152-156, September 2011. [pdf]
  10. S-Y. Tu and A. H. Sayed, “Mobile adaptive networks,” IEEE J. Selected Topics in Signal Processing, vol. 5, no. 4, pp. 649-664, August 2011. [pdf]
  11. F. Cattivelli and A. H. Sayed, “Modeling bird flight formations using diffusion adaptation,” IEEE Transactions on Signal Processing, vol. 59, no. 5, pp. 2038-2051, May 2011. [pdf]


COMMUNICATIONS (MIMO, OFDM, CDMA, COGNITIVE RADIOS, POWER CONTROL, OPTICAL, E911)
  1. I. Yunus, M. Kayaalp, A. H.  Sayed, and E. Telatar,  "A fundamental limit of distributed hypothesis testing under memoryless quantization,'' Proc. IEEE ICC, pp. 1-6, Seoul, South Korea,  May 2022. [pdf]
  2. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Distributed spectrum estimation for small cell networks based on sparse diffusion adaptation,” IEEE Signal Processing Letters, vol. 20, no. 12, pp. 1261-1265, Dec. 2013. [pdf]
  3. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Bio-inspired decentralized radio access based on swarming mechanisms over adaptive networks,” IEEE Trans. Signal Processing, vol. 61, no. 12, pp. 3183-3197, June 2013. [pdf]
  4. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Decentralized resource assignment in cognitive networks based on swarming mechanisms over random graphs,” IEEE Transactions on Signal Processing, vol. 60, no. 7, pp. 3755-3769, July 2012. [pdf]
  5. D. Skournetou, A. H. Sayed, and E. S. Lohan, “Performance of deconvolution methods in estimating CBOC-modulated signals,” International Journal of Navigation and Observation, vol. 2011, article ID 356975, 15 pages, DOI: 10.1155/2011/356975, June 2011. [pdf]
  6. Z. Quan, W. Zhang, S. J. Shellhammer, and A. H. Sayed, “Optimal spectral feature detection for spectrum sensing at very low SNR,” IEEE Transactions on Communications, vol. 59, no. 1, pp. 201-212, January 2011. [pdf]
  7. Q. Zou, S. Zheng, and A. H. Sayed, “Cooperative sensing via sequential detection,” IEEE Transactions on Signal Processing, vol. 58, no. 12, pp. 6266-6283, December 2010. [pdf]
  8. C. G. Lopes, E. H. Satorious, P. Estabrook, and A. H. Sayed, “Adaptive carrier tracking for Mars to Earth communications during entry, descent and landing,” IEEE Transactions on Aerospace and Electronic Systems, vol. 46, no. 4, pp. 1865-1879, October 2010. [pdf]
  9. J. Joung and A. H. Sayed, “User selection methods for multiuser two-way relay communications using space division multiple access,” IEEE Trans. Wireless Communications, vol. 9, no. 7, pp. 2130-2136, July 2010. [pdf]
  10. Z. Quan, K. Ma, S. Cui, and A. H. Sayed, “Optimal linear fusion for distributed detection via semidefinite programming,” IEEE Transactions on Signal Processing, vol. 58, no. 4, pp.2431-2436, April 2010. [pdf]
  11. J. Joung and A. H. Sayed, “Multiuser two-way amplify-and-forward relay processing and power control methods for beamforming systems,” IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1833-1846, March 2010. [pdf]
  12. J. Joung, A. H. Sayed, and Y. H. Lee, “Antenna selection with superposition for 4 × 2 DSTTD systems,” IEEE Communications Letters, vol. 13, no. 7, pp. 483-485, July 2009. [pdf]
  13. Z. Quan, S. Cui, A. H. Sayed, and V. H. Poor, “Optimal multiband joint detection for spectrum sensing in cognitive radio networks,” IEEE Transactions on Signal Processing, vol. 57, no. 3, pp. 1128-1140, March 2009. [pdf]
  14. Z. Quan, S. Cui, V. H. Poor, and A. H. Sayed, “Collaborative wideband sensing for cognitive radios,” IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 60-73, November 2008. [pdf]
  15. F. S. Cattivelli, P. Estabrook, E. H. Satorius, and A. H. Sayed, ”Carrier recovery enhancement for maximum-likelihood Doppler shift estimation in Mars exploration missions,” IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 5, pp. 658-669, October 2008. [pdf]
  16. Z. Quan, S. Cui, and A. H. Sayed, ”Optimal linear cooperation for spectrum sensing in cognitive radio networks,” IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 1, pp. 28-40, Feb. 2008. [pdf] (award winning article)
  17. Q. Zou, A. Tarighat, and A. H. Sayed, ”Performance analysis of multiband-OFDM UWB communications with application to range improvement,” IEEE Transactions on Vehicular Technology, vol. 56, no. 6, pp. 3864-3878, November 2007. [pdf]
  18. Q. Zou, A. Tarighat, and A. H. Sayed, ”Compensation of phase noise in OFDM wireless systems,” IEEE Transactions on Signal Processing, vol. 55, no. 11, pp. 5407-5424, November 2007. [pdf]
  19. N. Khajehnouri and A. H. Sayed, “Distributed MMSE relay strategies for wireless sensor networks,” IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3336-3348, July 2007. [pdf]
  20. A. Tarighat, R. C. J. Hsu, A. Shah, A. H. Sayed, and B. Jalali, ”Fundamentals and challenges of optical multiple-input multiple-output multimode fiber links,” IEEE Communications Magazine, vol. 45, no. 5, pp. 57-63, May 2007. [pdf]
  21. M. Sadek, A. Tarighat and A. H. Sayed, “A leakage-based precoding scheme for downlink multi-user MIMO channels,” IEEE Transactions on Wireless Communications, vol. 6, no. 5, pp. 1711-1721, May 2007. [pdf]
  22. M. Sadek, A. Tarighat, and A. H. Sayed, “Active antenna selection in multi-user MIMO communications,” IEEE Transactions on Signal Processing, vol. 55, no. 4, pp. 1498-1510, April 2007. [pdf]
  23. A. Tarighat and A. H. Sayed, “Joint compensation of transmitter and receiver impairments in OFDM systems,” IEEE Transactions on Wireless Communications, vol. 6, no. 1, pp. 240-247, January 2007. [pdf]
  24. N. R. Yousef, A. H. Sayed, and N. Khajehnouri, “Detection of fading overlapping multipath components,” Signal Processing, vol. 86, no. 9, pp. 2407-2425, September 2006. [pdf]
  25. N. R. Yousef, A. H. Sayed, and N. Khajehnouri, “Adaptive sub-chip multipath resolving for wireless location systems,” EURASIP Journal on Applied Signal Processing, vol. 2006, article ID 25431, 16 pages, 2006. [pdf]
  26. A. Tarighat, R. C. J. Hsu, A. H. Sayed, and B. Jalali, “Digital adaptive phase noise reduction in coherent optical links,” IEEE/OSA Journal of Lightwave Technology, vol. 24, no. 3, pp. 1269-1276, March 2006. [pdf]
  27. R. C. J. Hsu, A. Tarighat, A. Shah, A. H. Sayed, and B. Jalali, “Capacity enhancement in coherent optical MIMO (COMIMO) multimode fiber links,” IEEE Communications Letters, vol. 10, no. 3, pp. 195-197, March 2006. [pdf]
  28. A. H. Sayed, W. M. Younis, and A. Tarighat, “An invariant matrix structure in multi-antenna communications,” IEEE Signal Processing Letters, vol. 12, no. 11, pp. 749-752, Nov. 2005. [pdf]
  29. A. Tarighat and A. H. Sayed, “MIMO OFDM receivers for systems with IQ imbalances,” IEEE Transactions on Signal Processing, vol. 53, no. 9, pp. 3583-3596, September 2005. [pdf]
  30. A. R. Shah, R. C. J. Hsu, A. Tarighat, A. H. Sayed, and B. Jalali, “Coherent optical MIMO (COMIMO),” IEEE Journal of Lightwave Technology, vol. 23, no. 8, pp. 2410-2419, August 2005. [pdf]
  31. A. Tarighat, R. Bagheri, and A. H. Sayed, “Compensation schemes and performance analysis of IQ imbalances in OFDM receivers ,” IEEE Transactions on Signal Processing, vol. 53, no. 8, pp. 3257-3268, August 2005. [pdf]
  32. A. H. Sayed, A. Tarighat and N. Khajehnouri, “Network-based wireless location,” IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 24-40, July 2005. [pdf]
  33. A. Tarighat, A. Subramanian, and A. H. Sayed, “An uplink DS-CDMA receiver using a robust post-correlation Kalman structure,” IEEE Transactions on Wireless Communications, vol. 4, no. 3, pp. 847-854, May 2005. [pdf]
  34. M. A. Aldajani and A. H. Sayed, “Adaptive predictive power control for the uplink channel in DS-CDMA cellular systems,” IEEE Transactions on Vehicular Technology, vol. 52, no. 6, pp. 1447-1462, Nov.2003. [pdf]
  35. W. M. Younis, A. H. Sayed, and N. Al-Dhahir, “Efficient adaptive receivers for joint equalization and interference cancellation in multi-user space-time block-coded systems,” IEEE Transactions on Signal Processing, vol. 51, no. 11, pp. 2849-2862, Nov. 2003. [pdf] (award winning article)
  36. N. R. Yousef, A. H. Sayed, and L. M. A. Jalloul, “Robust wireless location over fading channels,” IEEE Transactions on Vehicular Technology, vol. 52, no. 1, pp. 117-126, Jan. 2003. [pdf]
  37. C. Kominakis, C. Fragouli, A. H. Sayed and R. Wesel, “Multi-input multi-output fading channel tracking and equalization using Kalman estimation,” IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1065-1076, May 2002. [pdf]
  38. N. Al-Dhahir and A. H. Sayed, “The finite-length multi-input multi-output MMSE-DFE,” IEEE Transactions on Signal Processing, vol. 48, no. 10, pp. 2921-2936, October 2000. [pdf]
  39. N. Al-Dhahir and A. H. Sayed, “CORDIC-based MMSE-DFE coefficient computation,” Digital Signal Processing Journal, vol. 9, no. 3, pp. 178-194, July 1999.[pdf]
  40. N. Al-Dhahir, A. H. Sayed and J. M. Cioffi, “Stable pole-zero modeling of long FIR filters with applications to the MMSE-DFE,” IEEE Transactions on Communications, vol. 45, no. 5, pp. 508-513, May 1997. [pdf]


DATA CONVERSION
  1. A. Tarighat, S. Gupta, A. H. Sayed, and B. Jalali, ”Two-dimensional spatio-temporal signal processing for dispersion compensation in time stretched ADC,” IEEE/OSA Journal of Lightwave Technology, vol. 25, no. 6, pp. 1580-1587, June 2007. [pdf]
  2. M. A. Aldajani and A. H. Sayed, “Stability and performance analysis of an adaptive sigma delta modulator,” IEEE Transactions on Circuits & Systems II, vol. 48, no. 3, pp. 233-244, March 2001. [pdf]


FAST ALGORITHMS AND STRUCTURED MATRICES
  1. T. Constantinescu, A. H. Sayed, and T. Kailath, “Inverse scattering experiments, structured matrix inequalities, and tensor algebra,” Linear Algebra and Its Applications, vols. 343-344, Mar. 2002. [pdf]
  2. N. Al-Dhahir and A. H. Sayed, “The finite-length multi-input multi-output MMSE-DFE,” IEEE Transactions on Signal Processing, vol. 48, no. 10, pp. 2921-2936, October 2000. [pdf]
  3. T. Boros, A. H. Sayed, and T. Kailath, “A recursive method for solving unconstrained tangential interpolation problems,” IEEE Transactions on Automatic Control, vol. 44, pp. 454-470, March 1999. [pdf]
  4. S. Chandrasekaran and A. H. Sayed, “A fast stable solver for nonsymmetric Toeplitz and quasi-Toeplitz systems of linear equations,” SIAM J. Mat. Anal. and Appl., vol. 19, no. 1, pp. 107-139, Jan. 1998. [pdf]
  5. T. Constantinescu, A. H. Sayed, and T. Kailath, “Displacement structure and maximum entropy,” IEEE Transactions on Information Theory, vol. 43, no. 3, pp. 1074-1080, May 1997. [pdf]
  6. S. Chandrasekaran and A. H. Sayed, “Stabilizing the generalized Schur algorithm,” SIAM J. Matrix Analysis and Applications, vol. 17, no. 4, pp. 950-983, Oct. 1996. [pdf]
  7. T. Boros, A. H. Sayed, H. Lev-Ari, and T. Kailath, “A generalized Schur-type algorithm for the joint factorization of a structured matrix and its inverse,” Calcolo, vol. 33, pp. 131-145, Jan-Jun 1996. [pdf]
  8. T. Kailath and A. H. Sayed, “On lossless cascades in structured matrix factorization,” Archiv Fur Electronik und Ubertragungstechnik, vol. 49, no. 5/6, pp. 307-312, Sep./Nov. 1995. [pdf]
  9. T. Kailath and A. H. Sayed, “Displacement structure: Theory and applications,” SIAM Review, vol. 37, no. 3, pp. 297-386, Sep. 1995. [pdf]
  10. A. H. Sayed and T. Kailath, “Fast algorithms for generalized displacement structures and lossless systems,” Linear Algebra and Its Applications, vol. 219, pp. 49-78, Apr. 1995. [pdf]
  11. A. H. Sayed and T. Kailath, “A look-ahead block Schur algorithm for Toeplitz-like matrices,” SIAM J. Matrix Anal. Appl., vol. 16, no. 2, pp. 388-413, Apr. 1995. [pdf]
  12. T. Constantinescu, A. H. Sayed and T. Kailath, “Displacement structure and completion problems,” SIAM J. Matrix Anal. Appl., vol. 16, no. 1, pp. 58-78, Jan. 1995. [pdf ]
  13. A. H. Sayed, T. Kailath and H. Lev-Ari, “Generalized Chandrasekhar recursions from the generalized Schur algorithm,” IEEE Transactions on Automatic Control, vol. 39, no. 11, pp. 2265-2269, Nov. 1994. [pdf]
  14. A. H. Sayed, T. Kailath, H. Lev-Ari and T. Constantinescu, “Recursive solutions of rational interpolation problems via fast matrix factorization,” Integral Equations and Operator Theory, vol. 20, pp. 84-118, Sep. 1994. [pdf]
  15. T. Boros, A. H. Sayed and T. Kailath, “Structured matrices and unconstrained rational interpolation,” Linear Algebra and Its Applications, vol. 203-204, pp. 155-188, Jul. 1994. [pdf ]
  16. T. Constantinescu, A. H. Sayed and T. Kailath, “A recursive Schur-based approach to the four-block problem,” IEEE Transactions on Automatic Control, vol. 39, no. 7, pp. 1476-1481, Jul. 1994. [pdf]
  17. A. H. Sayed, H. Lev-Ari and T. Kailath, “Time-variant displacement structure and triangular arrays,” IEEE Transactions on Signal Processing, vol. 42, pp. 1052-1062, May 1994. [pdf ]
  18. A. H. Sayed, T. Constantinescu and T. Kailath, “Time-variant displacement structure and interpolation problems,” IEEE Transactions on Automatic Control, vol. 39, no. 5, pp. 960-976, May 1994. [pdf]

  19. A. H. Sayed, H. Lev-Ari, and T. Kailath, "Fast triangular factorization of the sum of quasi-Toeplitz and quasi-Hankel matrices," Linear Algebra and Its Applications, vol. 191, pp. 77-106, Sep. 1993. [pdf]



H-INFINITY METHODS
  1. B. Hassibi, T. Kailath, and A. H. Sayed, “Array algorithms for H_oo estimation,” IEEE Transactions on Automatic Control, vol. 45, no. 4, pp. 702-706, April 2000.[pdf]
  2. A. H. Sayed, “Comments on `Tradeoffs between mean-square and worst-case performances in adaptive filtering’,” European Journal of Control, vol. 6, no. 1, pp. 89-92, 2000. [pdf]
  3. A. H. Sayed, B. Hassibi and T. Kailath, “Inertia properties of indefinite quadratic forms,” IEEE Signal Processing Letters, vol. 3, no. 2, pp. 57-59, Feb. 1996. [pdf]
  4. B. Hassibi, A. H. Sayed and T. Kailath, “Hoo optimality of the LMS algorithm,” IEEE Trans. Signal Processing, vol. 44, no. 2, pp. 267-280, Feb. 1996. [pdf]
  5. B. Hassibi, A. H. Sayed, and T. Kailath, “Linear estimation in Krein spaces – Part II: Applications,” IEEE Transactions on Automatic Control, vol. AC-41, no. 1, pp. 34-49, Jan. 1996. [pdf]
  6. B. Hassibi, A. H. Sayed, and T. Kailath, “Linear estimation in Krein spaces – Part I: Theory,” IEEE Transactions on Automatic Control, vol. AC-41, no. 1, pp. 18-33, Jan. 1996. [pdf ]


KALMAN FILTERING
  1. F. Cattivelli and A. H. Sayed, “Diffusion strategies for distributed Kalman filtering and smoothing,” IEEE Transactions on Automatic Control, vol. 55, no. 9, pp. 2069-2084, September 2010. [pdf]
  2. F. S. Cattivelli, A. H. Sayed, X. Hu, D. Lee, and P. Vespa, “Mathematical models of cerebral hemodynamics for detection of vasospasm in major cerebral arteries,” Acta Neurochir Suppl., vol. 102, pp. 63-69, 2008.Also presented at Proc. 13th International Symposium on Intracranial Pressure and Brain Monitoring (ICP), San Francisco, CA, July 2007. [pdf]
  3. R. Fraanje, A. H. Sayed, M. Verhaegen, and N. J. Doelman, “A fast-array Kalman filter solution to active noise control,” International Journal on Adaptive Control and Signal Processing, vol. 19, no. 2-3, pp. 125-152, Mar-Apr. 2005. [pdf]
  4. A. H. Sayed and T. Kailath, “A survey of spectral factorization methods,” Numerical Linear Algebra with Applications, vol. 8, pp. 467-496, 2001. [pdf]
  5. A. H. Sayed, T. Kailath and H. Lev-Ari, “Generalized Chandrasekhar recursions from the generalized Schur algorithm,” IEEE Transactions on Automatic Control, vol. 39, no. 11, pp. 2265-2269, Nov. 1994. [pdf]
  6. A. H. Sayed and T. Kailath, “Extended Chandrasekhar recursions,” IEEE Transactions on Automatic Control, vol. 39, no. 3, pp. 619-623, Mar. 1994. [pdf]


NUMERICAL LINEAR ALGEBRA
  1. S. Chandrasekaran and A. H. Sayed, “A fast stable solver for nonsymmetric Toeplitz and quasi-Toeplitz systems of linear equations,” SIAM J. Mat. Anal. and Appl., vol. 19, no. 1, pp. 107-139, Jan. 1998. [pdf]
  2. S. Chandrasekaran and A. H. Sayed, “Stabilizing the generalized Schur algorithm,” SIAM J. Matrix Analysis and Applications, vol. 17, no. 4, pp. 950-983, Oct. 1996. [pdf]


OPTICAL COMMUNICATIONS
  1. A. Tarighat, S. Gupta, A. H. Sayed, and B. Jalali, ”Two-dimensional spatio-temporal signal processing for dispersion compensation in time stretched ADC,” IEEE/OSA Journal of Lightwave Technology, vol. 25, no. 6, pp. 1580-1587, June 2007. [pdf]
  2. A. Tarighat, R. C. J. Hsu, A. Shah, A. H. Sayed, and B. Jalali, ”Fundamentals and challenges of optical multiple-input multiple-output multimode fiber links,” IEEE Communications Magazine, vol. 45, no. 5, pp. 57-63, May 2007. [pdf]
  3. A. Tarighat, R. C. J. Hsu, A. H. Sayed, and B. Jalali, “Digital adaptive phase noise reduction in coherent optical links,” IEEE/OSA Journal of Lightwave Technology, vol. 24, no. 3, pp. 1269-1276, March 2006. [pdf]
  4. R. C. J. Hsu, A. Tarighat, A. Shah, A. H. Sayed, and B. Jalali, “Capacity enhancement in coherent optical MIMO (COMIMO) multimode fiber links,” IEEE Communications Letters, vol. 10, no. 3, pp. 195-197, March 2006. [pdf]
  5. A. R. Shah, R. C. J. Hsu, A. Tarighat, A. H. Sayed, and B. Jalali, “Coherent optical MIMO (COMIMO),” IEEE Journal of Lightwave Technology, vol. 23, no. 8, pp. 2410-2419, August 2005. [pdf]


RF IMPAIRMENTS
  1. Z. J. Towfic, S.-K. Ting, and A. H. Sayed, “Clock jitter compensation in high-rate ADC circuits,” IEEE Transactions on Signal Processing, vol. 60, no. 11, pp. 5738-5753, November 2012. [pdf]
  2. S.-K. Ting, D. Cabric, and A. H. Sayed, “An algorithm to compensate the effects of spurious PLL tones in spectrum sensing architectures,” IEEE Transactions on Circuits and Systems I, vol. 59, no. 5, pp. 1093-1106, May 2012. [pdf]
  3. S. K. Ting and A. H. Sayed, “Digital suppression of spurious PLL tones in A/D converters,” IEEE Transactions on Signal Processing, vol. 59, no. 11, pp. 5275-5288, November 2011. [pdf]
  4. Q. Zou, M. Mikhemar, and A. H. Sayed, “Digital compensation of RF nonlinearities in software-defined radios,” IEEE Journal of Selected Topics in Signal Processing, vol. 3, no. 3, pp. 348-361, June 2009. [pdf]
  5. Q. Zou, A. Tarighat, and A. H. Sayed, “Compensation of IQ imbalance and phase noise in OFDM wireless systems,” IEEE Transactions on Communications, vol. 57, no. 2, pp. 404-414, February 2009. [pdf]
  6. K. Y. Kim, H. J. Choi, Q. Zou, and A. H. Sayed, “An efficient carrier phase synchronization technique for high-order M-QAM-OFDM,” IEEE Transactions on Signal Processing, vol. 56, no. 8, pp. 3789-3794, August 2008. [pdf]
  7. Q. Zou, A. Tarighat, and A. H. Sayed, ”Compensation of phase noise in OFDM wireless systems,” IEEE Transactions on Signal Processing, vol. 55, no. 11, pp. 5407-5424, November 2007. [pdf]
  8. A. Tarighat and A. H. Sayed, “Joint compensation of transmitter and receiver impairments in OFDM systems,” IEEE Transactions on Wireless Communications, vol. 6, no. 1, pp. 240-247, January 2007. [pdf]
  9. A. Tarighat and A. H. Sayed, “MIMO OFDM receivers for systems with IQ imbalances,” IEEE Transactions on Signal Processing, vol. 53, no. 9, pp. 3583-3596, September 2005. [pdf]
  10. A. Tarighat, R. Bagheri, and A. H. Sayed, “Compensation schemes and performance analysis of IQ imbalances in OFDM receivers ,” IEEE Transactions on Signal Processing, vol. 53, no. 8, pp. 3257-3268, August 2005. [pdf]


REGULARIZED ROBUST LEAST-SQUARES
  1. A. Subramanian and A. H. Sayed, “A robust power and rate control method for state-delayed wireless networks,” Automatica, vol. 41, no. 11, pp. 1917-1924, November 2005. [pdf]
  2. T. Keaton, S. M. Dominguez, and A. H. Sayed, “Browsing the environment with the Snap & Tell wearable computer system,” Personal and Ubiquitous Computing Journal, vol. 9, no. 6, pp. 343-355, December 2005. (DOI: 10.1007/s00779-004-0316-5, published online, May 2005). [pdf]
  3. A. Subramanian and A. H. Sayed, “Regularized robust filters for time varying uncertain discrete-time systems,” IEEE Transactions on Automatic Control, vol. 49, no. 6, pp. 970-976, June 2004. [pdf]
  4. A. Subramanian and A. H. Sayed, “Multi-objective filter design for uncertain stochastic time-delay systems,” IEEE Transactions on Automatic Control, vol. 49, no. 1, pp. 149-154, Jan. 2004. [pdf]
  5. A. H. Sayed and H. Chen, “A uniqueness result concerning a robust regularized least-squares solution,” Systems & Control Letters, vol. 46, pp. 361-369, 2002. [pdf]
  6. A. H. Sayed, V. H. Nascimento, and F. A. M. Cipparrone, “A regularized robust design criterion for uncertain data,” SIAM J. Matrix Analysis and Applications, vol. 23, no. 4, 1120-1142, 2002. [pdf]
  7. S. Chandrasekaran, M. Gu, A. H. Sayed, and K. E. Schubert, “The degenerate bounded errors-in-variables model,” SIAM J. Matrix Anal. Appl. vol. 23, no. 1, pp. 138-166, Apr.-Aug. 2001. [pdf]
  8. A. H. Sayed, “A framework for state-space estimation with uncertain models,” IEEE Transactions on Automatic Control, vol. 46, no. 7, pp. 998-1013, July 2001. [pdf]
  9. A. H. Sayed and S. Chandrasekaran, “Parameter estimation with multiple sources and levels of uncertainties,” IEEE Transactions on Signal Processing, vol. 48, no. 3, pp. 680-692, March 2000.[pdf ]
  10. S. Chandrasekaran, G. Golub, M. Gu, and A. H. Sayed, “An efficient algorithm for a bounded errors-in-variables model,” SIAM J. Mat. Anal. Appl., vol. 20, no. 4, pp. 839-859, Oct. 1999.[pdf]
  11. A. H. Sayed, V. H. Nascimento, and S. Chandrasekaran, “Estimation and control with bounded data uncertainties,” Linear Algebra and Its Applications, vol. 284, pp. 259-306, Nov. 1998. [pdf]
  12. S. Chandrasekaran, M. Gu, and A. H. Sayed, “Stable and efficient algorithms for indefinite linear least-squares problems,” SIAM J. Mat. Anal. Appl., vol. 20, no. 2, pp. 354-362, Apr. 1998. [pdf]
  13. S. Chandrasekaran, G. Golub, M. Gu, and A. H. Sayed, “Parameter estimation in the presence of bounded data uncertainties,” SIAM. J. Matrix Anal. Appl., vol. 19, no. 1, pp. 235-252, Jan. 1998. [pdf]
  14. S. Chandrasekaran, G. Golub, M. Gu, and A. H. Sayed, “Parameter estimation in the presence of bounded modeling errors,” IEEE Signal Processing Letters, vol. 4, no. 7, pp. 195-197, July 1997. [pdf]


WIRELESS LOCATION
  1. N. R. Yousef, A. H. Sayed, and N. Khajehnouri, “Detection of fading overlapping multipath components,” Signal Processing, vol. 86, no. 9, pp. 2407-2425, September 2006. [pdf]
  2. N. R. Yousef, A. H. Sayed, and N. Khajehnouri, “Adaptive sub-chip multipath resolving for wireless location systems,” EURASIP Journal on Applied Signal Processing, vol. 2006, article ID 25431, 16 pages, 2006. [pdf]
  3. A. H. Sayed, A. Tarighat and N. Khajehnouri, “Network-based wireless location,” IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 24-40, July 2005. [pdf]
  4. N. R. Yousef, A. H. Sayed, and L. M. A. Jalloul, “Robust wireless location over fading channels,” IEEE Transactions on Vehicular Technology, vol. 52, no. 1, pp. 117-126, Jan. 2003. [pdf]


WIRELESS NETWORKS
  1. Z. Quan, W. Kaiser, and A. H. Sayed, “Innovations diffusion: A spatial sampling scheme for distributed estimation and detection,” IEEE Transactions on Signal Processing, vol. 57, no. 2, pp. 738-751, February 2009. [pdf]
  2. M. A. Aldajani and A. H. Sayed, Reducing power control errors in wireless communication systems , US patent 7,415,285, issued August 19, 2008.
  3. Z. Quan, A. Subramanian, and A. H. Sayed, “REACA: An efficient protocol architecture for large scale sensor networks,” IEEE Transactions on Wireless Communications, vol. 6, no. 8, pp. 2924-2933, August 2007. (Due to a production error, a corrected version was published in the October issue of the same journal: vol. 6, no. 10, pp. 3846-3855, Oct. 2007). [pdf]
  4. A. Subramanian and A. H. Sayed, “Joint rate and power control algorithms for wireless networks,” IEEE Transactions on Signal Processing, vol. 53, no. 11, pp. 4204-4214, November 2005. [pdf]
  5. A. Subramanian and A. H. Sayed, “A robust power and rate control method for state-delayed wireless networks,” Automatica, vol. 41, no. 11, pp. 1917-1924, November 2005. [pdf]