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  1. M. Carpentiero, V. Matta, S. Vlaski, and A. H. Sayed, "Decentralized fusion of experts over networks,'' Proc. IEEE MLSP, pp. 1-5, London, Sep. 2024. [pdf]
  2. R. Nassif, M. Carpentiero, S. Vlaski, V. Matta, and A. H.  Sayed, "Matching centralized learning performance via compressed decentralized learning with error feedback," Proc. IEEE SPAWC,  pp. 1--5, Lucca, Italy, Sep. 2024.
  3. M. Khammassi, V. Bordignon, V. Matta, and A. H. Sayed,  "Adaptive social learning for tracking rare transition Markov chains,''  Proc. EUSIPCO, pp. 1032-1036, Lyon, France, August 2024. [pdf]
  4. M. Kayaalp, Y. Inan, V. Koivunen, and A. H. Sayed, "Causal impact analysis for asynchronous decision making," Proc. IEEE ISIT, pp. 1-5, Athens, Greece, July 2024. [pdf]
  5. R. Nassif, M. Carpentiero, S. Vlaski, V. Matta, and A. H. Sayed, "Differential error feedback for communication-efficient decentralized optimization," Proc. IEEE SAM Workshop, pp. 1-5, Corvallis, OR, July 2024.
  6. V. Shumovskaia, M. Kayaalp, and A. H.  Sayed, "Distributed decision-making for community structured networks,'' Proc. IEEE ICASSP, pp. 1-5, Seoul, South Korea, April 2024. [pdf]
  7. M. Carpentiero, V. Bordignon, V. Matta, and A. H. Sayed, "Social learning with adaptive models," Proc. IEEE ICASSP, pp. 1-5, Seoul, South Korea, April 2024. [pdf]
  8. H. Cai, S. A. Alghunaim, and A. H. Sayed, "Diffusion optimistic learning for min-max optimization,"  Proc. IEEE ICASSP, pp. 1-5, Seoul, South Korea, April 2024. [pdf]
  9. E. Rizk, K. Yuan, and A.  H. Sayed,  "Asynchronous diffusion learning with agent subsampling and local updates," Proc. IEEE ICASSP, pp. 1-5, Seoul, South Korea, April 2024. [pdf]
  10. 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]
  11. M. Kayaalp, Y. Inan, V. Koivunen, E. Telatar, and A. H. Sayed, "On fusion strategies for federated decision making," Proc. IEEE Statistical Signal Processing Workshop (SSP), pp. 1-5, Hanoi, Vietnam, July 2023 (award winning article).  [pdf] [arXiv]
  12. M. Cirillo, V. Matta, and A. H.  Sayed, "Learning dynamic graphs under partial observability,'' Proc. IEEE ICASSP, pp. 1-5, Rhodes Island, Greece, June 2023. [pdf]
  13. M. Carpentiero, V. Matta, and A. H. Sayed,  "Compressed distributed regression over adaptive networks,''  Proc. IEEE ICASSP,  pp. 1-5, Rhodes Island, Greece, June 2023. [pdf]
  14. M. Cirillo, V. Bordignon, V. Matta, and A. H.  Sayed,  "The role of memory in social learning when sharing partial opinions,'' Proc. IEEE ICASSP,  pp. 1-5, Rhodes Island, Greece, June 2023. [pdf]
  15. V. Shumovskaia, M. Kayaalp,  and A. H. Sayed, "Identifying opinion influencers over social networks,'' Proc. IEEE ICASSP,  pp. 1-5, Rhodes Island, Greece, June 2023. [pdf]
  16. Y. Cao, E. Rizk, S. Vlaski, and A. H. Sayed, "Multi-agent adversarial  training using diffusion learning,''  Proc. IEEE ICASSP, pp. 1-5, Rhodes Island, Greece, June 2023. [pdf]
  17. P. Hu, V. Bordignon, M. Kayaalp, and A. H. Sayed, "Performance of social machine learning under limited data,'' Proc. IEEE ICASSP, pp. 1-5, Rhodes Island, Greece, June 2023. [pdf]
  18. 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]
  19. 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]
  20. 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]
  21.   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]  
  22. R. Nassif, S. Vlaski, M. Antonini, M. Carpentiero, V. Matta,  and A. H. Sayed, ``Finite bit quantization for decentralized learning under subspace constraints,''  Proc. EUSIPCO, pp. 1-5, Belgrade, Serbia, Aug. 2022. [pdf]
  23. N. Konstantinos, V. Bordignon, S. Vlaski, and A. H. Sayed, ``Social learning with disparate hypotheses,'' Proc. EUSIPCO, pp. 1-5, Belgrade, Serbia, Aug. 2022. [pdf]
  24. 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]
  25. 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]
  26. M. Carpentiero, V. Matta, and A. H.  Sayed, "Adaptive diffusion with compressed communication,''  Proc. IEEE ICASSP, pp. 1-5, Singapore, May 2022. [pdf]
  27. 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]
  28. R. Nassif, V. Bordignon, S. Vlaski, and A. H.  Sayed, "Decentralized learning in the presence of low-rank noise,''   Proc. IEEE ICASSP, pp. 1-5, Singapore, May 2022. [pdf]
  29. 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]
  30. 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]
  31. E. Risk and A. H. Sayed, ``A graph federated architecture with privacy-preserving learning,'' Proc. IEEE SPAWC, pp. 1-5, Lucca, Italy, Sep. 2021. [pdf]
  32. M. Kayaalp, S. Vlaski, and A. H.  Sayed, ``Distributed meta-learning with networked agents,'' Proc. EUSIPCO, 5 pages, Dublin, Ireland, August 2021.  [pdf]
  33. 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]
  34. S. Vlaski and A. H. Sayed, ``Graph-homomorphic perturbations for private decentralized learning,'' Proc. IEEE ICASSP, Toronto, Canada, June 2021. [pdf]
  35. K. Ntemos, V. Bordignon, S. Vlaski, and A. H. Sayed, "Social learning under inferential attacks,''  Proc. IEEE ICASSP, Toronto, Canada, June 2021. [pdf]
  36. E. Rizk, S. Vlaski, and A. H. Sayed, "Optimal importance sampling for federated learning,''  Proc. IEEE ICASSP, Toronto, Canada, June 2021. [pdf]
  37. V. Bordignon, S. Vlaski, V. Matta, and A. H. Sayed, "Network classifiers based on social learning,''  Proc. IEEE ICASSP, Toronto, Canada, June 2021. [pdf]
  38. M. Cirillo, V. Matta, and A. H. Sayed, "Learning Bollobas-Riordan graphs under partial observability,'' Proc. IEEE ICASSP, Toronto, Canada, June 2021. [pdf]
  39. Y. E. Erginbas, S.  Vlaski, and A. H.  Sayed, "Gramian-based combination policies for diffusion learning over networks,''  Proc. IEEE ICASSP, Toronto, Canada, June 2021. [pdf]
  40. L. Cassano and A. H.  Sayed, "Logical team Q-learning: An approach towards factored policies in cooperative MARL,''  Proc. Artificial Intelligence and Statistics Conference (AISTATS), San Diego, CA, April 2021. [pdf]
  41. S. Vlaski, E. Rizk, and A. H. Sayed,  "Second-order guarantees in federated learning,'' Proc. Asilomar Conference on Signals, Systems and Computers, pp. 1-8, Pacific Grove, CA, Nov. 2020. [pdf]
  42. V. Bordignon, V. Matta, and A. H. Sayed,  "Adaptation in online social learning,''  Proc. EUSIPCO, pp. 1-5, Amsterdam, The Netherlands, August 2020. [pdf]
  43. S. Alghunaim, M. Yan, and A. H. Sayed,  "A multi-agent primal-dual strategy for composite optimization over distributed features,''  Proc. EUSIPCO, pp. 1-5, Amsterdam, The Netherlands, August 2020. [pdf]
  44. E. Rizk, S. Vlaski, and A. H.  Sayed, "Dynamic federated learning,'' Proc. International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1-5, May 2020. [pdf]
  45. S. Vlaski and A. H. Sayed, ``Linear speedup in saddle-point escape for decentralized non-convex optimization,'' Proc. IEEE ICASSP, 8589-8593, Barcelona, Spain, May 2020. [pdf]
  46. V. Matta, V. Bordignon, A. Santos, and A. H. Sayed, ``Learning graph influence from social interactions,''   Proc. IEEE ICASSP, pp. 5535-5539, Barcelona, Spain, May 2020. [pdf]
  47. V. Bordignon, V. Matta, and A. H.  Sayed, ``Social learning with partial information sharing,''  Proc. IEEE ICASSP, pp. 5540-5544, Barcelona, Spain, May 2020. [pdf]
  48. S. Marano and A. H. Sayed, ``Adaptation and learning in multi-task decision systems,'' Proc. IEEE ICASSP,  pp. 5525-5529, Barcelona, Spain, May 2020. [pdf]
  49. S. Vlaski and A. H. Sayed, "Polynomial escape-time from saddle points in distributed non-convex optimization,''  Proc. IEEE CAMSAP, pp. 171-175, Guadeloupe, West Indies, December 2019. [pdf]
  50. S. Alghunaim, K. Yuan, and A. H. Sayed, ``A linearly convergent proximal gradient algorithm for decentralized  optimization,'' Proc. Conference on Neural Information Processing Systems (NeurIPS),  pp. 1-11, Vancouver, Canada, December 2019. [pdf] [slides] [supplemental material]
  51. K. Yuan, S. Alghunaim, B. Ying, and A. H. Sayed, ``On the performance of exact diffusion over adaptive networks," Proc. IEEE CDC, pp. 4898-4903, Nice, France, Dec. 2019. [pdf]
  52. R. Nassif, S. Vlaski, and A. H. Sayed, ``Distributed learning over networks under subspace constraints,'' Proc. Asilomar Conference on Signals, Systems and Computers, pp. 194-198, Pacific Grove, CA, November 2019. [pdf]
  53. R. Merched, S. Vlaski, and A. H. Sayed, ``Enhanced diffusion learning over networks,''  Proc. EUSIPCO,  pp. 1-5, Coruna, Spain, Sep. 2019. [pdf]
  54. V. Matta, A. Santos, and A. H. Sayed, ``Graph learning with partial observations: Role of degree concentration,'' Proc. International Symposium on Information Theory (ISIT), pp. 1312-1316, Paris, France, July 2019. [pdf]
  55. L. Cassano, K. Yuan, and A. H. Sayed, ``Distributed value-function learning with linear convergence rates,'' Proc. European Control Conference (ECC), pp. 505-511, Naples, Italy, June 2019. [pdf]
  56. S. Vlaski and A. H. Sayed, ``Diffusion learning in non-convex environments,'' Proc. IEEE ICASSP,  pp. 5262-5266, Brighton, UK, May 2019. [pdf]
  57. K. Yuan, B. Ying, and A. H. Sayed, ``COVER: A cluster-based variance reduced method for online learning,'' Proc. IEEE ICASSP,  pp. 3102-3106, Brighton, UK, May 2019. [pdf]
  58. R. Nassif, S. Vlaski, and A. H. Sayed, ``Distributed inference over networks under subspace constraints,'' Proc. IEEE ICASSP,  pp.  5232-5236, Brighton, UK, May 2019. [pdf]
  59. V. Matta, A. Santos, and A. H. Sayed, ``Exponential collapse of social beliefs over weakly-connected heterogeneous networks,'' Proc. IEEE ICASSP,  pp.  5267-5271, Brighton, UK, May 2019. [pdf]
  60. L. Cassano, S. Alghunaim, and A. H. Sayed, ``Team policy learning for multi-agent reinforcement learning,''   Proc. IEEE ICASSP,  pp.  3062-3066, Brighton, UK, May 2019.  [pdf] [video]
  61. S. A. Alghunaim, K. Yuan, and A. H. Sayed, ``Dual coupled diffusion for distributed optimization with affine constraints,'' Proc. IEEE CDC, pp. 829-834,  Miami Beach, FL, USA, Dec. 2018. [pdf]
  62. V. Matta, A. Santos,  and A. H. Sayed, ``Tomography of large adaptive networks under the dense latent regime,'' Proc. Asilomar Conference on Signals, Systems and Computers, pp.  2144-2148, Pacific Grove, CA, Oct. 2018. [pdf]
  63. F. Hua, R. Nassif, C. Richard, H. Wang, and A. H. Sayed, ``Decentralized clustering for node-variant graph filtering with graph diffusion LMS,''  Proc. Asilomar Conference on Signals, Systems and Computers, pp. 1418-1422, Pacific Grove, CA, Oct. 2018. [pdf]
  64. K. Yuan, B. Ying, and A. H. Sayed, ``Efficient variance-reduced learning over multi-agent networks,'' Proc. EUSIPCO, pp. 415-419, Rome, Italy, Sep. 2018. [pdf]
  65. S. Marano and A. H. Sayed , ``Decisions under binary messaging over adaptive networks,'' Proc. EUSIPCO, pp. 410-414, Rome, Italy, Sep. 2018. [pdf]
  66. F. Hua, R. Nassif, C. Richard, H. Wang, and A. H. Sayed, ``A preconditioned graph diffusion LMS for adaptive graph signal processing,'' Proc. EUSIPCO, pp. 111-115, Rome, Italy, Sep. 2018. [pdf]
  67. R. Nassif, S. Vlaski, and A. H. Sayed, ``Distributed inference over multitask graphs under smoothness,'' Proc. IEEE Intern. Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1-5, Kalamata, Greece, June 2018. [pdf]
  68. A. Santos, V. Matta, and A. H. Sayed, ``Consistent tomography over diffusion networks under the low-observability regime,''  Proc. Intern. Symposium Information Theory (ISIT), pp. 1839-1843, Vail, CO, USA, June 2018. [pdf]
  69. B. Ying, K. Yuan, and A. H. Sayed,  ``An exponentially-convergent algorithm for learning under distributed features,'' Proc. IEEE Data Science Workshop, pp. 185-189, Lausanne, Switzerland, June 2018. [pdf]
  70. A. Santos, V. Matta, and A. H. Sayed, ``Divide-and-conquer tomography for large-scale networks,'' Proc. IEEE Data Science Workshop, pp. 170-174, Lausanne, Switzerland, June 2018.  [pdf]
  71. S. Vlaski, H. P. Maretic, R. Nassif, P. Frossard, and A. H. Sayed, ``Online graph learning from sequential data,'' Proc. IEEE Data Science Workshop, pp. 190-194, Lausanne, Switzerland, June 2018. [pdf]
  72. S. A. Alghunaim and A. H. Sayed, “Distributed coupled learning over adaptive networks,” Proc. IEEE ICASSP, pp. 6353-6357, Calgary, Canada, April 2018. [pdf]
  73. B. Ying, K. Yuan, and A. H. Sayed, “Convergence of variance-reduced learning under random reshuffling,” Proc. IEEE ICASSP, pp. 2286-2290, Calgary, Canada, April 2018. [pdf]
  74. R. Nassif, C. Richard, J. Chen, and A. H. Sayed, “Distributed diffusion adaptation over graph signals,” Proc. IEEE ICASSP,  pp. 4129-4133, Calgary, Canada, April 2018. [pdf]
  75. V. Matta and A. H. Sayed, “Tomography of adaptive multi-agent networks with limited observation,” Proc. IEEE ICASSP, pp. 6638-6642, Calgary, Canada, April 2018. [pdf]
  76. S. A. Alghunaim, K. Yuan, and A. H. Sayed, “Decentralized exact coupled optimization, ” Proc. Allerton Conference on Communication, Control, and Computing, pp. 338-345, Allerton, IL, October 2017. [pdf]
  77. R. Nassif, C. Richard, J. Chen, and A. H. Sayed, “A graph diffusion LMS strategy for adaptive graph signal processing,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 1973-1976, Pacific Grove, CA, October 2017. [pdf]
  78. C. Wang, Y. Zhang, B. Ying, and A. H. Sayed, “Coordinate-descent adaptation over networks,” Proc. EUSIPCO, pp. 2284-2288, Kos Island, Greece, August 2017. [pdf]
  79. K. Yuan, B. Ying, X. Zhao, and A. H. Sayed, “Exact diffusion strategy for optimization by networked agents,” Proc. EUSIPCO,  pp. 141-145, Kos Island, Greece, August 2017. [pdf]
  80. S. Basir-Kazeruni, S. Vlaski, H. Salami, A. H. Sayed, and D. Markovic, “A blind adaptive stimulation artifact rejection (ASAR) engine for closed-loop implantable neuromodulation systems,” Proc. Inter. IEEE EMBS Neural Engineering Conference, pp. 186-189, Shanghai, China, May 2017. [pdf]
  81. C.-K. Yu and A. H. Sayed, “Learning by networked agents under partial information,” Proc. ICASSP, pp. 3874-3878, New Orleans, LA, March 2017. [pdf]
  82. H. Salami and A. H. Sayed, “Belief control strategies for interactions over weak graphs,” Proc. ICASSP, pp. 4232-4236, New Orleans, LA, March 2017. [pdf]
  83. B. Ying and A. H. Sayed, “Diffusion gradient boosting for networked learning,” Proc. ICASSP, pp. 2512-2516, New Orleans, LA, March 2017. [pdf]
  84. B. Ying, K. Yuan, S. Vlaski, and A. H. Sayed, “On the performance of random reshuffling in stochastic learning,” Proc. Information Theory and Applications Workshop (ITA), pp. 1-5, San Diego, CA, February 2017. [pdf]
  85. S. Vlaski, B. Ying and A. H. Sayed, “The BRAIN strategy for online learning,” Proc. IEEE GlobalSIP Symposium on Signal Processing of Big Data, pp. 1285-1289, Washington, DC, Dec. 2016. [pdf]
  86. T. Wu, K. Yuan, Q. Ling, W. Yin, and A. H. Sayed, “Decentralized consensus optimization with asynchrony and delay,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 992-996, Pacific Grove, CA, November 2016. [pdf]
  87. R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed, “Distributed learning over multitask networks with linearly related tasks,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 1390-1394, Pacific Grove, CA, November 2016. [pdf]
  88. V. Matta, P. Braca, S. Marano, and A. H. Sayed, “Detection over diffusion networks: Asymptotic tools for performance prediction and simulation,” Proc. EUSIPCO, pp. 1503-1507, Budapest, Hungary, Sep. 2016. [pdf]
  89. B. Ying, K. Yuan, and A. H. Sayed, “Online dual coordinate ascent learning,” Proc. EUSIPCO, pp. 1793-1797, Budapest, Hungary, Sep. 2016. [pdf]
  90. K. Yuan, B. Ying, S. Vlaski, and A. H. Sayed, “Stochastic gradient descent with finite sample sizes,” Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Salerno, Italy, Sep. 2016. [pdf]
  91. J. Chen, S. K. Ting, C. Richard, and A. H. Sayed, “Group diffusion LMS,” Proc. IEEE ICASSP, pp. 4925-4929, Shanghai, China, March 2016. [pdf]
  92. R. Nassif, C. Richard, J. Chen, A. Ferrari, and A. H. Sayed, “Diffusion LMS over multitask networks with noisy links,” Proc. IEEE ICASSP, pp. 4583-4587, Shanghai, China, March 2016. [pdf]
  93. K. Yuan and A. H. Sayed, “On the influence of momentum acceleration on online learning,” Proc. IEEE ICASSP, pp. 4915-4919, Shanghai, China, March 2016. [pdf]
  94. B. Ying and A. H. Sayed, “Performance limits of single-agent and multi-agent sub-gradient stochastic learning,” Proc. IEEE ICASSP, pp. 4905-4909, Shanghai, China, March 2016. [pdf]
  95. H. Salami, B. Ying, and A. H. Sayed, “Diffusion social learning over weakly-connected graphs,” Proc. IEEE ICASSP, pp. 4119-4123, Shanghai, China, March 2016. [pdf]
  96. C.-K. Yu, M. van der Schaar, and A. H. Sayed, “Adaptive learning for stochastic generalized Nash equilibrium problems,” Proc. IEEE ICASSP, pp. 4840-4844, Shanghai, China, March 2016. [pdf]
  97. S. Vlaski, L. Vandenberghe, and A. H. Sayed, ”Diffusion stochastic optimization with non-smooth regularizers,” Proc. IEEE ICASSP, pp. 4149–4153, Shanghai, China, March 2016. [Award winning article] [pdf]
  98. J. Chen, C. Richard, and A. H. Sayed, “Adaptive clustering for multitask diffusion networks,” Proc. EUSIPCO, Nice, France, pp. 200-204, Sep. 2015. [pdf]
  99. S. Khawatmi, A. Zoubir, and A. H. Sayed, “Decentralized clustering over adaptive networks,” Proc. EUSIPCO, Nice, France, pp. 2696-2700, Sep. 2015. [pdf]
  100. S. Monajemi, S. Sanei, S-H. Ong, and A. H. Sayed, “Adaptive regularized diffusion adaptation over multitask networks,” Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-5, Boston, USA, Sep. 2015. [pdf]
  101. R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed, “Multitask diffuion LMS with sparsity-based regularization,” Proc. IEEE ICASSP, pp. 3516-3520, Brisbane, Australia, April 2015. [pdf]
  102. V. Matta, P. Braca, S. Marano, and A. H. Sayed, “Exact asymptotics of distributed detection over adaptive networks,” Proc. IEEE ICASSP, pp. 3377-3381, Brisbane, Australia, April 2015. [pdf]
  103. Z. J. Towfic and A. H. Sayed, “Distributed primal strategies outperform primal-dual strategies over adaptive networks,” Proc. IEEE ICASSP, pp. 3497-3501, Brisbane, Australia, April 2015. [pdf]
  104. B. Ying and A. H. Sayed, “Learning by weakly-connected adaptive agents,” Proc. IEEE ICASSP, pp. 5788-5792, Brisbane, Australia, April 2015. [pdf]
  105. S. Vlaski and A. H. Sayed, “Proximal diffusion for stochastic costs with non-differentiable regularizers,” Proc. IEEE ICASSP, pp. 3352-3356, Brisbane, Australia, April 2015. [pdf]
  106. R. Nassif, C. Richard, A. Ferrari, and A. H. Sayed, “Performance analysis of multitask diffusion adaptation over asynchronous networks,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 788-792, Pacific Grove, CA, November 2014. [pdf]
  107. Z. J. Towfic, J. Chen, and A. H. Sayed, “Dictionary learning over large distributed models via dual-ADMM strategies,” Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), Reims, France, pp. 1-6, Sep. 2014. [pdf]
  108. J. Chen, C. Richard, A. Hero. and A. H. Sayed, “Diffusion LMS for multitask problems with overlapping hypothesis subspaces,” Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), Reims, France, pp. 1-6, Sep. 2014. [pdf]
  109. S. Al-Sayed, A. Zoubir, and A. H. Sayed, “Robust distributed detection over adaptive diffusion networks,” Proc. IEEE ICASSP, pp. 7233-7237, Florence, Italy, May 2014. [pdf]
  110. J. Fernandez-Bes, J. Arenas-García, and A. H. Sayed, “Adjustment of combination weights over adaptive diffusion networks,” Proc. IEEE ICASSP, pp. 6409-6413, Florence, Italy, May 2014. [pdf]
  111. P. Braca, S. Marano, V. Matta, and A. H. Sayed, “Large deviations analysis of adaptive distributed detection,” Proc. IEEE ICASSP, pp. 6112-6116, Florence, Italy, May 2014. [pdf]
  112. J. Chen, C. Richard, and A. H. Sayed, “Diffusion LMS for clustered multitask networks,” Proc. IEEE ICASSP, pp. 5487-5491, Florence, Italy, May 2014. [pdf]
  113. J. Chen, Z. J. Towfic, and A. H. Sayed, “Online dictionary learning over distributed models,” Proc. IEEE ICASSP, pp. 3874-3878, Florence, Italy, May 2014. [pdf]
  114. C.-K. Yu, M. van der Schaar, and A. H. Sayed, “Distributed spectrum sensing in the presence of selfish users,” Proc. IEEE CAMSAP, pp. 392-395, Saint Martin, Dec. 2013. [pdf]
  115. J. Chen and A. H. Sayed, “On the probability distribution of distributed optimization strategies,” Proc. IEEE GlobalSIP, pp. 555-558, Austin, TX, Dec. 2013. [pdf]
  116. M. R. Gholami, E. G. Ström, and A. H. Sayed, “Distributed estimation over cooperative networks with missing data,” Proc. IEEE GlobalSIP, pp. 411-414, Austin, TX, Dec. 2013. [pdf]
  117. Z. J. Towfic and A. H. Sayed, “Adaptive stochastic convex optimization over networks,” Proc. 51st annual Allerton Conference on Communication, Control, and Computing, pp. 1272-1277, Monticello, IL, October 2013. [pdf]
  118. C.-K. Yu, M. van der Schaar, and A. H. Sayed, “Cluster formation over adaptive networks with selfish agents,” Proc. EUSIPCO, pp. 1-5, Marrakech, Morocco, September 2013. [pdf]
  119. J. Chen and A. H. Sayed, “On the benefits of diffusion cooperation for distributed optimization and learning,” Proc. EUSIPCO, pp. 1-5, Marrakech, Morocco, September 2013. [pdf]
  120. S. Al-Sayed, A. Zoubir, and A. H. Sayed, “An optimal error nonlinearity for robust adaptation against impulsive noise,” Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Darmstadt, Germany, pp. 415-419, June 2013. [pdf]
  121. C.-K. Yu, M. Laghate, A. H. Sayed, and D. Cabric, “On the effects of colluded statistical attacks in cooperative spectrum sensing,” Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Darmstadt, Germany, pp.275-279, June 2013. [pdf]
  122. C.-K. Yu, M. van der Schaar, and A. H. Sayed, “Reputation design for adaptive networks with selfish agents,” Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Darmstadt, Germany, pp.160-164, June 2013. [pdf]
  123. R. Abdolee, B. Champagne, and A. H. Sayed, “Diffusion LMS strategies for parameter estimation over fading wireless channels,” Proc. IEEE ICC, pp. 1926-1930, Budapest, Hungary, June 2013. [pdf]
  124. R. Abdolee, S. Saur, B. Champagne, and A. H. Sayed, “Diffusion LMS localization and tracking algorithm for wireless cellular networks,” Proc. IEEE ICASSP, pp. 4598-4602, Vancouver, Canada, May 2013. [pdf]
  125. S. V. Macua, J. Chen, S. Zazo, and A. H. Sayed, “Cooperative off-policy prediction of Markov decision processes in adaptive networks,” Proc. IEEE ICASSP, pp. 4539-4543, Vancouver, Canada, May 2013. [pdf]
  126. S.-K. Ting and A. H. Sayed, “Mitigation of clipping in sensors,” Proc. IEEE ICASSP, pp. 5934-5938, Vancouver, Canada, May 2013. [pdf]
  127. Z. J. Towfic, J. Chen, and A. H. Sayed, “Distributed inference over regression and classification models,” Proc. IEEE ICASSP, pp. 5406-5410, Vancouver, Canada, May 2013. [pdf]
  128. X. Zhao and A. H. Sayed, “Attaining optimal batch performance via distributed processing over networks,” Proc. IEEE ICASSP, pp. 5214-5218, Vancouver, Canada, May 2013. [pdf]
  129. C.-K. Yu and A. H. Sayed, “A strategy for adjusting combination weights over adaptive networks,” Proc. IEEE ICASSP, pp. 4579-4583, Vancouver, Canada, May 2013. [pdf]
  130. K. Eftaxias, S. Sanei, and A. H. Sayed, “Modeling brain cortical connectivity using diffusion adaptation,” Proc. IEEE ICASSP, pp. 959-962, Vancouver, Canada, May 2013. [pdf]
  131. A. H. Sayed, S-Y. Tu, and J. Chen, “Online learning and adaptation over networks: More information is not necessarily better,” Proc. Information Theory and Applications Workshop (ITA), pp. 1-8, San Diego, February 2013. [pdf]
  132. M. O. Bin Saeed, A. Zerguine, S. A. Zummo, and A. H. Sayed, “Unsupervised algorithms for distributed estimation over adaptive networks,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 1780-1783, Pacific Grove, CA, November 2012. [pdf]
  133. V. Nascimento and A. H. Sayed, “Mean-square analysis of continuous-time distributed estimation strategies,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 1503-1507, Pacific Grove, CA, November 2012. [pdf]
  134. X. Zhao and A. H. Sayed, “Learning over social networks via diffusion adaptation,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 709-713, Pacific Grove, CA, November 2012. [pdf]
  135. S-Y. Tu and A. H. Sayed, “Adaptive decision making over complex networks,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 525-530, Pacific Grove, CA, November 2012. [pdf]
  136. J. Chen and A. H. Sayed, “On the limiting behavior of distributed optimization strategies,” Proc. 50th Annual Allerton Conference on Communication, Control, and Computing, pp. 1535-1542, Monticello, IL, October 2012. [pdf]
  137. Y-J. Shin, A. H. Sayed, and X. Shen, “Using an adaptive gene network model for self-organizing multicellular behavior,” Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), pp. 5449-5453, San Diego, CA, Aug./Sep. 2012. [pdf]
  138. Z. J. Towfic, J. Chen, and A. H. Sayed, “On the generalization ability of online learners,” Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), Santander, Spain, pp. 1-6, Sep. 2012. [pdf]
  139. R. Abdolee, B. Champagne, and A. H. Sayed, “Diffusion LMS for source and process estimation in sensor networks,” Proc. IEEE Statistical Signal Processing Workshop, pp. 165-168, Ann Arbor, MI, August 2012. [pdf]
  140. S-Y. Tu and A. H. Sayed, “Diffusion networks outperform consensus networks,” Proc. IEEE Statistical Signal Processing Workshop, pp. 313-316, Ann Arbor, MI, August 2012. [pdf]
  141. V. H. Nascimento and A. H. Sayed, “Continuous-time distributed estimation with asymmetric mixing,” Proc. IEEE Statistical Signal Processing Workshop, pp. 528-531, Ann Arbor, MI, August 2012. [pdf]
  142. J. Chen and A. H. Sayed, “Distributed Pareto-optimal solutions via diffusion adaptation,” Proc. IEEE Statistical Signal Processing Workshop, pp. 648-651, Ann Arbor, MI, August 2012. [pdf]
  143. X. Zhao and A. H. Sayed, “Asynchronous diffusion adaptation over networks,” Proc. EUSIPCO, pp. 86-90, Bucharest, Romania, August 2012. [pdf]
  144. R. Abdolee, B. Champagne, and A. H. Sayed, “A diffusion LMS strategy for parameter estimation in noisy regressor applications,” Proc. EUSIPCO, pp. 749-753, Bucharest, Romania, August 2012. [pdf]
  145. X. Zhao, J. Chen and A. H. Sayed, “Beam coordination via diffusion adaptation over array networks,” Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cesme, Turkey, pp. 105-109, June 2012. [pdf]
  146. X. Zhao and A. H. Sayed, “Combination weights for diffusion strategies with imperfect information exchange,” Proc. IEEE ICC, pp. 398-402, Ottawa, Canada, June 2012. [pdf]
  147. Z. J. Towfic, J. Chen, and A. H. Sayed, “Distributed throughput optimization over P2P mesh networks using diffusion adaptation,” Proc. IEEE ICC, pp. 648-652, Ottawa, Canada, June 2012. [pdf]
  148. X. Zhao and A. H. Sayed, “Clustering via diffusion adaptation over networks,” Proc. International Workshop on Cognitive Information Processing (CIP), Parador de Baiona, Spain, pp. 1-6, May 2012. [pdf]
  149. S-Y. Tu and A. H. Sayed, “Effective information flow over mobile adaptive networks,” Proc. International Workshop on Cognitive Information Processing (CIP), Parador de Baiona, Spain, pp. 1-6, May 2012. [pdf]
  150. Z. J. Towfic, J. Chen, and A. H. Sayed, “Distributed learning via diffusion adaptation with application to ensemble learning,” Proc. European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning (ESANN), pp. 245-250, Bruges, Belgium, April 2012. [pdf]
  151. J. Chen and A. H. Sayed, “Performance of diffusion adaptation for collaborative optimization,” Proc. IEEE ICASSP, Kyoto, Japan, pp. pp. 3753-3756, March 2012. [pdf]
  152. X. Zhao and A. H. Sayed “Single-link diffusion strategies over adaptive networks,” Proc. IEEE ICASSP, Kyoto, Japan, pp. 3749-3752, March 2012. [pdf]
  153. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Sparse diffusion LMS for distributed adaptive estimation,” Proc. IEEE ICASSP, Kyoto, Japan, pp. 3281-3284, March 2012. [pdf]
  154. S-Y. Tu and A. H. Sayed, “Adaptive networks with noisy links,” Proc. IEEE Globecom, Houston, TX, pp.1-5, December 2011. [pdf]
  155. J. Chen, S-Y. Tu and A. H. Sayed, “Distributed optimization via diffusion adaptation,” Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), San Juan, Puerto Rico, pp. 281-284, December 2011. [pdf]
  156. S-Y. Tu and A. H. Sayed, “Optimal combination rules for adaptation and learning over networks,” Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), San Juan, Puerto Rico, pp. 317-320, December 2011. [pdf]
  157. A. H. Sayed and F. A. Sayed, “Diffusion adaptation over networks of particles subject to Brownian fluctuations,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 685-690, Pacific Grove, CA, November 2011. [pdf]
  158. V. H. Nascimento and A. H. Sayed, “Continuous-time distributed estimation,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 1761-1765, Pacific Grove, CA, November 2011. [pdf]
  159. S-Y. Tu and A. H. Sayed, “On the effects of topology and node distribution on learning over complex adaptive networks,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 1166-1171, Pacific Grove, CA, November 2011. [pdf]
  160. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “Bio-inspired swarming for dynamic radio access based on diffusion adaptation,” Proc. EUSIPCO, pp. 402-406, Barcelona, Spain, August-September 2011. [pdf] (Award winning article)
  161. A. Bertrand, M. Moonen, and A. H. Sayed, “Diffusion-based bias-compensated RLS for distributed estimation over adaptive sensor networks,” Proc. EUSIPCO, pp. 1025-1029, Barcelona, Spain, August-September 2011. [pdf]
  162. J-W. Lee, S-E. Kim, W-J. Song, and A. H. Sayed, “Spatio-temporal diffusion mechanisms for adaptation over networks,” Proc. EUSIPCO, pp. 1040-1044, Barcelona, Spain, August-September 2011. [pdf]
  163. Z. J. Towfic, J. Chen, and A. H. Sayed, “Collaborative learning of mixture models using diffusion adaptation,” Proc. IEEE International Workshop on Machine Learning for Signal Processing, Beijing, China, pp. 1-6, September 2011. [pdf]
  164. P. Di Lorenzo, S. Barbarossa, and A. H. Sayed, “A bio-inspired fast swarming algorithm for dynamic radio access,” Proc. 17th International Conference on Digital Signal Processing (DSP), pp. 1-6, Corfu, Greece, July 2011. [pdf]
  165. X. Zhao and A. H. Sayed, “Probability distribution of steady-state errors and adaptation over networks,” Proc. IEEE International Workshop on Statistical Signal Processing (SSP), pp. 253-256, Nice, France, June 2011. [pdf]
  166. S-K. Ting and A. H. Sayed, “Frequency domain compensation of spurious sidebands in A/D circuits,” Proc. ICASSP, Prague, Czech Republic, pp. 4000-4003, May 2011. [pdf]
  167. X. Zhao and A. H. Sayed, “Performance limits of LMS-based adaptive networks,” Proc. ICASSP, Prague, Czech Republic, pp. 3768-3771, May 2011. [pdf]
  168. S-Y. Tu and A. H. Sayed, “Cooperative prey herding based on diffusion adaptation,” Proc. ICASSP, Prague, Czech Republic, pp. 3752-3755, May 2011. [pdf]
  169. J. Chen and A. H. Sayed, “Bio-inspired cooperative optimization with application to bacteria motility,” Proc. ICASSP, Prague, Czech Republic, pp. 5788-5791, May 2011. [pdf]
  170. S-K. Ting and A. H. Sayed, “Reducing spurious PLL tones in spectrum sensing architectures,” Proc. IEEE ISCAS, pp. 2445-2448, Rio de Janeiro, Brazil, May 2011. [pdf]
  171. Z. J. Towfic and A. H. Sayed, “Clock jitter estimation in noise,” Proc. IEEE ISCAS, pp. 1251-1254, Rio de Janeiro, Brazil, May 2011. [pdf]
  172. J. Li and A. H. Sayed, “Honeybee swarming behavior using diffusion adaptation,” Proc. IEEE DSP Workshop, Sedona, Arizona, pp. 249-254, January 2011. [pdf]
  173. Ø. L. Rørtveit, J. H. Husøy, and A. H. Sayed, “Diffusion LMS with communications constraints,” Proc. 44th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 1645-1649, Nov. 2010. [pdf]
  174. S-Y. Tu and A. H. Sayed, “Tracking behavior of mobile adaptive networks,” Proc. 44th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 698-702, Nov. 2010. [pdf]
  175. J. Chen, X. Zhao, and A. H. Sayed, “Bacterial motility via diffusion adaptation,” Proc. 44th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 1930-1934, Nov. 2010. [pdf]
  176. S-Y. Tu and A. H. Sayed, “Mobile adaptive networks with self-organization abilities,” Proc. 7th International Symposium on Wireless Communication Systems, York, United Kingdom, pp. 379-383, Sep. 2010. [pdf]
  177. S-Y. Tu and A. H. Sayed, “Foraging behavior of fish schools via diffusion adaptation,” Proc. International Workshop on Cognitive Information Processing, pp. 63-68, Elba Island, Italy, June 2010. [pdf]
  178. S-K. Ting and A. H. Sayed, “Reduction of the effects of spurious PLL tones on A/D converters,” Proc. IEEE ISCAS, pp. 3985-3988, Paris, France, May 2010. [pdf]
  179. Z. J. Towfic and A. H. Sayed, “Sampling clock jitter estimation and compensation in ADC circuits,” Proc. IEEE ISCAS, pp. 829-832, Paris, France, May 2010. [pdf]
  180. J. Joung and A. H. Sayed, “Distributed beamforming and mode selection based on instantaneous system throughout,” Proc. IEEE ICASSP, Dallas, TX, pp. 3034-3037, March 2010. [pdf]
  181. F. Cattivelli and A. H. Sayed, “Distributed nonlinear Kalman filtering with applications to wireless localization,” Proc. IEEE ICASSP, Dallas, TX, pp. 3522-3525, March 2010. [pdf]
  182. C. G. Lopes and A. H. Sayed, “Randomized incremental protocols over adaptive networks,” Proc. IEEE ICASSP, Dallas, TX, pp. 3514-3517, March 2010. [pdf]
  183. J. Joung and A. H. Sayed, “Power allocation for beamforming relay networks under channel uncertainties,” Proc. Globecom, Wireless Communications Symposium, pp. 1-6, Honolulu, Hawaii, December 2009. [pdf]
  184. Z. Quan, S. Shellhammer, W. Zhang, and A. H. Sayed, “Spectrum sensing by cognitive radios at very low SNR,” Proc. Globecom, Symposium on Selected Areas in Communications, pp. 1-6, Honolulu, Hawaii, December 2009. [pdf]
  185. J. Joung and A. H. Sayed, “Relay selection for grouped-relay networks using the average SLNR measure,” Proc. 3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP09), pp. 273-276, Aruba, Dutch Antilles, December 2009. [pdf]
  186. F. Cattivelli and A. H. Sayed, “Self-organization in bird flight formations using diffusion adaptation,” Proc. 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 49-52, Aruba, Dutch Antilles, December 2009. [pdf]
  187. F. Cattivelli and A. H. Sayed, “Diffusion distributed Kalman filtering with adaptive weights,” Proc. Asilomar Conference on Signals, Systems and Computers, pp. 908-912, Pacific Grove, CA, November 2009. [pdf]
  188. F. Cattivelli and A. H. Sayed, “Diffusion LMS-based distributed detection over adaptive networks,” Proc. Asilomar Conference on Signals, Systems and Computers, pp. 171-175, Pacific Grove, CA, November 2009. [pdf]
  189. C. G. Lopes, E. H. Satorius, P. Estabrook, and A. H. Sayed, “Order-adaptive frequency trackers for Direct-to-Earth Mars communications,” Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 61-64, Wales, UK, August 2009. [pdf]
  190. J. Joung and A. H. Sayed, “Designing of half- and full-duplex relay systems based on MMSE formulation,” Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 281-284, Wales, UK, August 2009. [pdf]
  191. Q. Zou, S. Zheng, and A. H. Sayed, “Cooperative spectrum sensing via coherence detection,” Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 610-613, Wales, UK, August 2009. [pdf]
  192. F. Cattivelli and A. H. Sayed, “Hierarchical diffusion algorithms for distributed estimation,” Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 537-540, Wales, UK, August 2009. [pdf]
  193. Q. Zou, S. Zheng, and A. H. Sayed, ”Cooperative spectrum sensing via sequential detection for cognitive radio networks,” Proc. IEEE Workshop on Signal Processing for Wireless Communications (SPAWC), pp. 121-125, Perugia, Italy, June 2009.[pdf]
  194. F. Cattivelli and A. H. Sayed, ”Distributed detection over adaptive networks based on diffusion estimation schemes,” Proc. IEEE Workshop on Signal Processing for Wireless Communications (SPAWC), pp. 61-65, Perugia, Italy, June 2009. [pdf]
  195. J. Joung and A. H. Sayed, ”Multiuser two-way relaying method for beamforming systems,” Proc. IEEE Workshop on Signal Processing for Wireless Communications (SPAWC), pp. 280-284, Perugia, Italy, June 2009. [pdf]
  196. D. Skournetou, A. H. Sayed, and E.S. Lohan, ”A deconvolution algorithm for estimating jointly the line-of-sight code delay and carrier phase of GNSS signals,” Proc. European Navigation Conference- Global Navigation Sattelite Systems (ENC-GNSS), Naples, Italy, May 2009. [pdf]
  197. Z. Quan, W-K. Ma, S. Cui, and A. H. Sayed, “Optimal linear fusion for distributed spectrum sensing via semidefinite programming,” Proc. ICASSP, pp. 3629-3632, Taipei, Taiwan, April 2009. [pdf]
  198. N. Takahashi, I. Yamada, and A. H. Sayed, “Diffusion least-mean-squares with adaptive combiners,” Proc. ICASSP, pp. 2845-2848, Taipei, Taiwan, April 2009. [pdf]
  199. F. Cattivelli and A. H. Sayed, ”Multi-level diffusion adaptive networks,” Proc. ICASSP, pp. 2789-2792, Taipei, Taiwan, April 2009. [pdf]
  200. F. Cattivelli and A. H. Sayed, ”Diffusion LMS algorithms with information exchange,” Proc. Asilomar Conference on Signals, Systems and Computers, pp. 251-255, Pacific Grove, CA, October 2008. [pdf]
  201. L. Li, Y. Zhang, J. A. Chambers, and A. H. Sayed, ”Steady-state performance of incremental learning over distributed networks for non-Gaussian data,” Proc. 9th International Conference on Signal Processing (ICSP), pp. 227-230, Beijing, China, October 2008. [pdf]
  202. F. Cattivelli and A. H. Sayed, ”Diffusion mechanisms for fixed-point distributed Kalman smoothing,” Proc. EUSIPCO, pp. 1-4, Lausanne, Switzerland, August 2008. [pdf]
  203. F. Cattivelli, C. G. Lopes, and A. H. Sayed, ”Diffusion strategies for distributed Kalman filtering: Formulation and performance analysis,” Proc. 2008 IAPR Workshop on Cognitive Information Processing, pp. 36-41, Santorini, Greece, June 2008. [pdf]
  204. Z. Quan, S. Cui, A. H. Sayed, and H. V. Poor, ”Wideband spectrum sensing in cognitive radio networks,” Proc. ICC, pp. 901-906, Beijing, China, May 2008. [pdf]
  205. Z. Quan, S. Cui, A. H. Sayed, and H. V. Poor, ”Spatial-spectral joint detection for wideband spectrum sensing in cognitive radio networks,” Proc. ICASSP, pp. 2793-2796, Las Vegas, April 2008. [pdf]
  206. C. Lopes and A. H. Sayed, ”Diffusion adaptive networks with changing topologies,” Proc. ICASSP, pp.3285-3288, Las Vegas, April 2008. [pdf]
  207. Q. Zou, M. Mikhemar, and A. H. Sayed, ”Digital compensation of RF nonlinearities in software-defined radios,” Proc. ICASSP, pp. 2921-2924, Las Vegas, April 2008. [pdf]
  208. Z. Quan, S. Cui, and A. H. Sayed, “An optimal strategy for cooperative spectrum sensing in cognitive radio networks,” Proc. IEEE Globecom Signal Processing Symposium, Washington D.C., pp. 2947-2951, November 2007. [pdf]
  209. C. G. Lopes, E. H. Satorius, P. Eastbrook, and A. H. Sayed, “Efficient adaptive carrier tracking for Mars to Earth communications during entry, descent, and landing,” Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 517-521, Madison, WI, August 2007. [pdf]
  210. C. G. Lopes, and A. H. Sayed, ”Steady-state performance of adaptive diffusion least-mean squares,” Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 136-140, Madison, WI, August 2007. [pdf]
  211. F. Cattivelli, C. G. Lopes, and A. H. Sayed, ”A diffusion RLS scheme for distributed estimation over adaptive networks,” Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Helsinki, Finland, pp. 1-5, June 2007. [pdf]
  212. Q. Zou, A. Tarighat, and A. H. Sayed, ”On the Joint compensation of IQ imbalances and phase noise in MIMO-OFDM systems,” Proc. ISCAS, pp. 37-40, New Orleans, LA, May 2007. [pdf]
  213. C. G. Lopes and A. H. Sayed, ”Diffusion least-mean-squares over adaptive networks,” Proc. ICASSP, Honolulu, Hawaii, vol. 3, pp. 917-920, April 2007. [pdf]
  214. Z. Quan and A. H. Sayed, ”Innovations-based sampling over spatially-correlated sensors,” Proc. ICASSP, Honolulu, Hawaii, vol. 3, pp. 509-512, April 2007. [pdf]
  215. Q. Zou, A. Tarighat, K.Y. Kim, and A. H. Sayed, ”OFDM channel estimation in the presence of frequency offset, IQ imbalance, and phase noise,” Proc. ICASSP, Honolulu, Hawaii, vol. 3, pp. 273-276, April 2007. [pdf]
  216. Z. Quan, W. J. Kaiser, and A. H. Sayed, ”A spatial sampling scheme based on innovations diffusion in sensor networks,” Proc. Information Processing in Sensor Networks (IPSN), pp. 323-330, Cambridge, MA, April 2007. [pdf]
  217. A. H. Sayed and C. G. Lopes, ”Adaptive estimation algorithms over distributed networks,” Proc. 21st IEICE Signal Processing Symposium, Kyoto, Japan, November 2006. [pdf]
  218. Q. Zou, A. Tarighat, and A. H. Sayed, “Joint compensation of IQ imbalance and phase noise in OFDM systems,” Proc. 40th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 1435-1439, October-November, 2006. [pdf]
  219. C. Lopes, E. Satorius, and A. H. Sayed, “Adaptive carrier tracking for direct-to-earth Mars communications,” Proc. 40th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp.1042-1046, October-November, 2006. [pdf]
  220. A. H. Sayed and C. Lopes, “Distributed recursive least-squares strategies over adaptive networks,” Proc. 40th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, pp. 233-237, October-November, 2006. [pdf]
  221. Q. Zou, A. Tarighat, N. Khajehnouri, and A. H. Sayed, “A phase noise compensation scheme for OFDM wireless systems”, Proc. 14th European Signal Processing Conference (EUSIPCO), Florence, Italy, September 2006. [pdf]
  222. M. Sadek, A. Tarighat, and A. H. Sayed, “A dynamic antenna scheduling strategy for multi-user MIMO communications,” Proc. 14th European Signal Processing Conference (EUSIPCO), Florence, Italy, September 2006. [pdf]
  223. Q. Zou, A. Nosratinia, and A. H. Sayed, “Precoding for broadcasting with linear network codes,” Proc. 44th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, September 2006. [pdf]
  224. C. Lopes and A. H. Sayed, “Distributed processing over adaptive networks,” Proc. Adaptive Sensor Array Processing Workshop, MIT Lincoln Laboratory, MA, pp. 1-5, June 2006. [pdf]
  225. Q. Zou, A. Tarighat, and A. H. Sayed, “Performance analysis and range improvement in multiband-OFDM UWB communications,” Proc. ICASSP, Toulouse, France, vol.4 , pp. 629-632, May 2006. [pdf]
  226. N. Khajehnouri and A. H. Sayed, “A minimum co-user interference approach for multi-user MIMO downlink precoding,” Proc. ICASSP, Toulouse, France, vol. 3, pp. 824-827, May 2006. [pdf]
  227. Z. Quan, A. Subramanian, and A. H. Sayed, “On the performance of clustered energy-aware wireless networks,” Proc. ICASSP, Toulouse, France, vol. 4, pp. 281-284, May 2006. [pdf]
  228. C. Lopes and A. H. Sayed, “Distributed adaptive incremental strategies: Formulation and performance analysis,” Proc. ICASSP, Toulouse, France, vol. 3, pp. 584-587, May 2006. [pdf]
  229. N. Khajehnouri and A. H. Sayed, “Multi-relay strategy for imperfect channel information in sensor networks,” Proc. EUSIPCO, Antalya, Turkey, Sep. 2005. [pdf]
  230. N. Khajehnouri and A. H. Sayed, “Alamouti space-time code relaying strategy for wireless networks,” Proc. IEEE Workshop on Statistical Signal Processing (SSP), Bordeaux, France, pp. 83-88, July 2005. [pdf]
  231. J. Arenas-Garcia, A. R. Figueiras-Vidal, and A. H. Sayed, ”Tracking properties of convex combinations of adaptive filters,” Proc. IEEE Workshop on Statistical Signal Processing (SSP), Bordeaux, France, pp. 109-114, July 2005. [pdf]
  232. A. Tarighat and A. H. Sayed, “OFDM systems with both transmitter and receiver IQ imbalances,” Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Columbia University, NY, pp. 735-739, June 2005. [pdf]
  233. N. Khajehnouri and A. H. Sayed, “A distributed MMSE relay strategy for wireless sensor networks,” Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Columbia University, NY, pp. 796-800, June 2005. [pdf]
  234. N. Khajehnouri and A. H. Sayed, “A distributed broadcasting time-synchronization scheme for wireless sensor networks,” Proc. ICASSP, Philadelphia, PA, vol. 5, pp. 1053-1056, March 2005. [pdf]
  235. J. Arenas-Garcia, A. R. Figueiras-Vidal, and A. H. Sayed, “Steady-state performance of convex combinations of adaptive filters,” Proc. ICASSP, Philadelphia, PA, vol. 4, pp. 33-36, March 2005. [pdf]
  236. A. Tarighat, M. Sadek, and A. H. Sayed, “A multi user beamforming scheme for downlink MIMO channels based on maximizing signal-to-leakage ratios,” Proc. ICASSP, Philadelphia, PA, vol. 3, pp. 1129-1131, March 2005. [pdf]
  237. H-C. Shin, A. H. Sayed, and W-J. Song, “Mean-square performance of adaptive filters using averaging theory,” Proc. 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, pp. 229-234, Nov. 2004. [pdf]
  238. M. Sadek, A. Tarighat, and A. H. Sayed, “Exploiting spatio-temporal correlation for rate-efficient transmit beamforming,” Proc. 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, pp. 2027-2031, Nov. 2004. [pdf]
  239. A. Subramanian and A. H. Sayed, “Regularized robust filtering for discrete time uncertain time-delayed stochastic systems,” Proc. 42nd Allerton Conference on Communication, Control, and Computing, Monticello, IL, Oct. 2004. [pdf]
  240. W. M. Younis and A. H. Sayed, “A divide and conquer algorithm for channel estimation in multi-user space-time coded transmissions,” Proc. 12th European Signal Processing Conference (EUSIPCO), Vienna, Austria, Sep. 2004. [pdf]
  241. W. M. Younis and A. H. Sayed, “Adaptive channel estimation for space-time block coded MIMO–OFDM communications,” Proc. IFAC workshop on Adaptation and Learning in Control and Signal Processing, Yokohama, Japan, Aug. 2004. [pdf]
  242. A. Tarighat, W. M. Younis and A. H. Sayed, “Adaptive MIMO OFDM receivers: Implementation impairments and complexity issues,” Proc. IFAC workshop on Adaptation and Learning in Control and Signal Processing, Yokohama, Japan, Aug. 2004. [pdf]
  243. A. Subramanian and A. H. Sayed, “Performance analysis of a class of clustered wireless networks,” Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lisbon, Portugal, pp. 11-15, July 2004. [pdf]
  244. W. M. Younis and A. H. Sayed, “MIMO space-time block coded receivers over frequency selective fading channels,” Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lisbon, Portugal, pp. 396-400, July 2004. [pdf]
  245. N. Khajehnouri and A. H. Sayed, “Adaptive angle of arrival estimation for multiuser wireless location systems,” Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lisbon, Portugal, pp. 551-555, July 2004. [pdf]
  246. A. Tarighat and A. H. Sayed, “Space-time coding in MISO-OFDM systems with implementation impairments,” Proc.Sensor Array and Multichannel Signal Processing Workshop (SAM), Barcelona, Spain, July 2004. [pdf]
  247. W. M. Younis and A. H. Sayed, “Adaptive channel estimation for MIMO space-time coded communications,” Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Barcelona, Spain, July 2004. [pdf]
  248. A. Subramanian and A. H. Sayed, “A power and rate control algorithm for wireless networks with state-delayed dynamics,” Proc. MTNS, Leuven, Belgium, July 2004. [pdf]
  249. A. Subramanian and A. H. Sayed, “Collaborative algorithms for bandwidth and rate allocation in wireless networks,” Proc. Inter. Symposium on Information Theory, Chicago, IL, p. 213, June 2004. [pdf]
  250. A. Subramanian and A. H. Sayed, “A probabilistic power-aware routing algorithm for wireless ad-hoc networks,” Proc. VTC, Milan, Italy, pp. 2190-2194, May 2004. [pdf]
  251. A. Tarighat and A. H. Sayed, “On the baseband compensation of IQ imbalances in OFDM systems,” Proc. ICASSP, Montreal, Canada, vol. iv, pp. 1021-1024, May 2004. [pdf]
  252. A. Subramanian and A. H. Sayed, “Resource allocation strategies for wireless ad-hoc networks,” Proc. ICASSP, Montreal, Canada, vol. iv, pp. 569-572, May 2004. [pdf]
  253. W. M. Younis and A. H. Sayed, “Interference suppression of asynchronous multi-user space-time block coded transmissions,” Proc. ICASSP, Montreal, Canada, vol. iv, pp. 789-792, May 2004. [pdf]
  254. A. Subramanian, N. Khajehnouri, and A. H. Sayed, “A stochastic power control algorithm for wireless networks,” Proc. IEEE Workshop on Statistical Signal Processing, St. Louis, MO, pp. 391-394, Oct. 2003. [pdf]
  255. A. Subramanian, N. Khajehnouri, and A. H. Sayed, “A minimum variance power control algorithm for wireless networks,” Proc. VTC, Orlando, FL, pp. 1468-1472, Oct. 2003. [pdf]
  256. M. Aldajani and A. H. Sayed, “Adaptive differential pulse-coded modulation with exponential tracking,” Proc. 3rd International Symposium on Image and Signal Processing and Analysis (ISPA), Rome, Italy, vol. 1, pp. 532-536, Sep. 2003. [pdf]
  257. A. Subramanian and A. H. Sayed, “Regularized robust estimators for time varying uncertain discrete-time systems,” Proc. IFAC Symposium on System Identification (SYSID), Rotterdam, The Netherlands, Aug. 2003. [pdf]
  258. A. Subramanian and A. H. Sayed, “A robust minimum variance filter for time varying uncertain discrete-time systems,” Proc. ACC, vol. 3, pp. 1885-1889, Denver, CO, Jun. 2003. [pdf]
  259. H-C. Shin and A. H. Sayed, “Transient behavior of affine projection algorithms,” Proc. ICASSP, vol. VI, pp. 353-356, Hong Kong, April 2003. [pdf]
  260. N. Khajehnouri and A. H. Sayed, “A non-line-of-sight equalization scheme for wireless cellular location,” Proc. ICASSP, vol. VI, pp. 549-552, Hong Kong, April 2003. [pdf]
  261. W. M. Younis, A. H. Sayed, and N. Al-Dhahir, “Joint frequency-domain adaptive equalization and interference cancellation for multi-user space-time block-coded systems,” Proc. ICASSP, vol. IV, pp. 385-388, Hong Kong, April 2003. [pdf]
  262. A. Tarighat, N. Khajehnouri, and A. H. Sayed, “Improved wireless location accuracy using antenna arrays and interference cancellation,” Proc. ICASSP, vol. IV, pp. 616-619, Hong Kong, April 2003. [pdf]
  263. A. Tarighat and A. H. Sayed, “An optimum OFDM receiver exploiting cyclic prefix for improved data estimation,” Proc. ICASSP, vol. IV, pp. 217-220, Hong Kong, April 2003. [pdf]
  264. A. Tarighat, N. Khajehnouri, and A. H. Sayed, “CDMA location using multiple antennas and interference cancellation,” Proc. VTC, vol. 4, pp. 2711-2715, Jeju, Korea, April 2003. [pdf]
  265. A. Subramanian, N. Khajehnouri, and A. H. Sayed, “A robust scheme for cellular power control,” Proc. VTC, vol. 4, pp. 2231-2235, Jeju, Korea, April 2003. [pdf]
  266. W. M. Younis, A. H. Sayed, and N. Al-Dhahir, “Adaptive frequency-domain joint equalization and interference cancellation for multi-user space-time block-coded systems,” Proc. ICC, vol. 5, pp. 3230-3235, Anchorage, AK, 2003. [pdf]
  267. A. Subramanian, A. Tarighat, and A. H. Sayed, “A robust receiver for multi-user uplink DS-CDMA,” Proc. IEEE Wireless Communications and Networking Conference, vol. 1, pp. 397-402, New Orleans, LA, Mar. 2003. [pdf]
  268. A. Subramanian and A. H. Sayed, “Robust exponential filtering for uncertain systems with stochastic and polytopic uncertainties,” Proc. CDC, Las Vegas, NV, Dec. 2002. [pdf]
  269. T. Keaton, S. M. Dominguez, and A. H. Sayed, “Snap & Tell: A multi-modal wearable computer interface for browsing the environment,” Proc. 6th IEEE International Symposium on Wearable Computers, (ISWC) Seattle, Washington, USA, pp. 75-82, Oct. 2002. [pdf]
  270. A. H. Sayed, “Energy conservation and state-space characterization of adaptive filter performance,” Proc. 34th ISCIE (International Symposium on Stochastic Systems Theory and Its Applications), Fukuoka, Japan, pp. 1-10, Oct. 2002. [pdf]
  271. M. A. Aldajani and A. H. Sayed, “Predictive ratio closed-loop power control for CDMA wireless systems,” Proc. ICASSP, Orlando, FL, May 2002. [pdf]
  272. M. A. Aldajani and A. H. Sayed, “Inverse closed-loop power control for CDMA wireless systems,” Proc. ICASSP, Orlando, FL, May 2002. [pdf]
  273. T. Y. Al-Naffouri and A. H. Sayed, “Optimum error nonlinearities for long adaptive filters,” Proc. ICASSP, Orlando, FL, May 2002. [pdf]
  274. W. M. Younis, N. Al-Dhahir, and A. H. Sayed, “Adaptive frequency-domain equalization of space-time block-coded transmissions,” Proc. ICASSP, Orlando, FL, May 2002. [pdf]
  275. T. Keaton, S. M. Dominguez, and A. H. Sayed, “Snap & Tell: A vision-based wearable system to support ‘web-on-the-world’ applications,” Proc. Conf. Digital Image Computing – Techniques and Applications (DICTA), Melbourn, Australia, Jan. 2002. [pdf]
  276. M. H. Terra and A. H. Sayed, “Design of robust filters with improved robustness margins via parameter scaling,” Proc. CDC, Orlando, FL, Dec. 2001. [pdf]
  277. N. R. Yousef and A. H. Sayed, “Adaptive multipath resolving for wireless location systems,” Proc. Asilomar Conference on Signals, Systems, and Computers, CA, Nov. 2001. [pdf]
  278. S. M. Dominguez, T. Keaton, and A. H. Sayed, “Comparison of robust estimation and Kalman filtering applied to fingertip tracking in human-machine interfaces,” Proc. Asilomar Conference on Signals, Systems, and Computers, CA, Nov. 2001. [pdf]
  279. S. M. Dominguez, T. Keaton, and A. H. Sayed, “Robust finger tracking for wearable computer interfacing,” Proc. Workshop on Perspective User Interfaces, Orlando, FL, Nov. 2001. [pdf]
  280. N. R. Yousef and A. H. Sayed, “Detection of fading overlapping multipath components for mobile-positioning systems,” Proc. ICC, vol. 10, pp. 3102-3106, Helsinki, Finland, June 2001. [pdf]
  281. T. Y. Al-Naffouri and A. H. Sayed, “Transient analysis of adaptive filters – Part II: The error nonlinearity case,” Proc. 5th IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Baltimore, Maryland, June 2001. [pdf] (award winning article)
  282. T. Y. Al-Naffouri and A. H. Sayed, “Transient analysis of adaptive filters – Part I: The data nonlinearity case,” Proc. 5th IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Baltimore, Maryland, June 2001. [pdf ]
  283. M. A. Aldajani and A. H. Sayed, “SNR performance of an adaptive sigma delta modulator,” Proc. ISCAS, vol. 1, pp. 392-395, Sydney, Australia, May 2001. [pdf]
  284. R. Merched and A. H. Sayed, “RLS-Laguerre lattice adaptive filtering: Error feedback and array-based algorithms,” Proc. ISCAS, vol. 2, pp. 669-672, Sydney, Australia, May 2001. [pdf]
  285. R. Merched and A. H. Sayed, “Extended fast fixed order RLS adaptive filters,” Proc. ISCAS, vol. 2, pp. 665-668, Sydney, Australia, May 2001. [pdf]
  286. N. R. Yousef and A. H. Sayed, “Fixed point analysis of the constant modulus algorithm,” Proc. ICASSP, Salt Lake City, Utah, May 2001. [pdf]
  287. R. Merched and A. H. Sayed, “Orthonormal realization of fast fixed-order RLS adaptive filters,” Proc. ICASSP, Salt Lake City, Utah, May 2001. [pdf]
  288. M. A. Aldajani and A. H. Sayed, “A stable adaptive structure for delta modulation with improved performance,” Proc. ICASSP, Salt Lake City, Utah, May 2001. [pdf]
  289. T. Y. Al-Naffouri and A. H. Sayed, “Transient analysis of adaptive filters,” Proc. ICASSP, vol. 6, pp.3869 -3872, Salt Lake City, Utah, May, 2001. [pdf]
  290. A. H. Sayed and T. Y. Al-Naffouri, “Mean-square analysis of normalized leaky adaptive filters,” Proc. ICASSP, vol. 6, pp. 3873–3876,Salt Lake City, Utah, May, 2001. [pdf]
  291. A. H. Sayed, “State estimation with uncertain data: Finite and inifinite-horizon results,” Proc. Conference on Decision and Control, Sydney, Australia, December 2000. [pdf ]
  292. M. A. Aldajani and A. H. Sayed, “Stability analysis of an adaptive structure for sigma delta modulation,” Proc. 7th IEEE International Conference on Electronics, Circuits, and Systems, vol. 1, pp. 129-132, Jounieh, Lebanon, December 2000. [pdf ]
  293. T. Y. Al-Naffouri and A. H. Sayed, “An adaptive filter robust to data uncertainties,” Proc. Allerton Conference on Communication, Control, and Computing, vol. II, pp. 1175-1183, Monticello, IL, Oct. 2000. [pdf]
  294. M. A. Aldajani and A. H. Sayed, “An adaptive structure for sigma delta modulation with improved dynamic range,” Proc. 43rd Midwest Symposium on Circuits and Systems, Lansing, MI, August 2000. [ pdf ]
  295. A. H. Sayed, “State estimation with uncertain parametric models,” Proc. 8th IEEE Mediterranean Conference on Control and Automation, Rio, Greece, July 2000. [pdf]
  296. A. H. Sayed, T. Y. Al-Naffouri, and T. Kailath, “Robust estimation for uncertain models in a data fusion scenario,” Proc. IFAC System Identification Symposium, Santa Barbara, CA, June 2000. [pdf]
  297. T. Y. Al-Naffouri, A. H. Sayed, and T. Kailath, “On the selection of optimal nonlinearities for stochastic gradient adaptive algorithms,” Proc. ICASSP, vol. I, pp. 464-467, Istanbul, Turkey, June 2000. [pdf]
  298. R. Merched and A. H. Sayed, “Exact RLS Laguerre-lattice adaptive filtering,” Proc. ICASSP, vol. I, pp. 456-459, Istanbul, Turkey, June 2000. [pdf]
  299. N. R. Yousef and A. H. Sayed, “A generalized tracking analysis of adaptive filtering algorithms in cyclicly and randomly varying environments,” Proc. ICASSP, vol. I, pp. 440-443, Istanbul, Turkey, June 2000. [pdf]
  300. C. Kominakis, C. Fragouli, A. H. Sayed, and R. D. Wesel, “Adaptive multi-input multi-output channel equalization using Kalman estimation,” Proc. ICC, vol. 3, pp. 1655-1659, New Orleans, Louisiana, June 2000. [pdf ]
  301. N. R. Yousef and A. H. Sayed, “A unified approach to the steady-state analysis of quantized adaptive filtering algorithms,” Proc. ISCAS, vol. 3, pp. 341-344, Geneva, Switzerland, May 2000. [pdf]
  302. N. R. Yousef and A. H. Sayed, “A new combined architecture for CDMA location searchers and rake receivers,” Proc. ISCAS, Geneva, Switzerland, May 2000. [pdf]
  303. N. R. Yousef and A. H. Sayed, “Robust multipath resolving in fading conditions for mobile-positioning systems,” Proc. 17th IEEE National Radio Science Conference, vol. 1, no. C19, pp. 1-8, Cairo, Egypt, Feb. 2000. [pdf ]
  304. N. R. Yousef and A. H. Sayed, “A feedback analysis of the tracking performance of blind adaptive equalization algorithms,” Proc. CDC, vol. 1, pp. 174-179, Phoenix, AZ, Dec. 1999. [pdf ]
  305. S. Chandrasekaran, M. Gu, and A. H. Sayed, “Fast updating of structured linear systems of equations with applications in adaptive filtering,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 427-431, CA, Oct. 1999. [pdf]
  306. C. Kominakis, C. Fragouli, A. H. Sayed, and R. D. Wesel, “Channel estimation and equalization in fading,” Proc. Asilomar Conference on Signals, Systems, and Computers, vol. 1, pp. 1159-1163, CA, Oct. 1999. [pdf]
  307. N. Al-Dhahir and A. H. Sayed, “A Computationally-efficient FIR MMSE-DFE for multi-user communications,” Proc. Asilomar Conference on Signals, Systems, and Computers, vol. 1, pp. 207-209, CA, Oct. 1999. [Dueto a publishing error, which omitted two pages, the entire article is reprinted in Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 1867-1871, CA, Oct. 2000.] [pdf]
  308. N. R. Yousef and A. H. Sayed, “Tracking analysis of the LMF and LMMN adaptive algorithms,” Proc. Asilomar Conference on Signals, Systems, and Computers, vol. 1, pp. 786-790, CA, Oct. 1999. [pdf]
  309. N. R. Yousef and A. H. Sayed, “A new adaptive estimation algorithm for wireless location finding systems,” Proc. Asilomar Conference on Signals, Systems, and Computers, vol. 1, pp. 491-495, CA, Oct. 1999. [pdf]
  310. N. R. Yousef, L. M. A. Jalloul, and A. H. Sayed, “Robust time-delay and amplitude estimation for CDMA location finding,” Proc. IEEE Vehicular Technology Conference, vol.4, pp. 2163-2167, Delft, The Netherlands, Sep. 1999. [pdf]
  311. R. Merched and A. H. Sayed, “Fast RLS Laguerre adaptive filtering,” Proc. Allerton Conference on Communication, Control, and Computing, pp. 338-347, Monticello, IL, Sep. 1999. [pdf]
  312. V. H. Nascimento and A. H. Sayed, “Optimal state regulation for uncertain state-space models,” Proc. American Control Conference, vol. 1, pp. 419-424, San Diego, June 1999. [pdf]
  313. N. R. Yousef and A. H. Sayed, “A unified approach to the steady-state and tracking analyses of adaptive filtering algorithms,” Proc. 4th IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, vol. 2, pp. 699-703, Antalya, Turkey, June 1999. [pdf] (award winning article)
  314. A. H. Sayed and S. Chandrasekaran, “Estimation in the presence of multiple sources of uncertainties with applications,”Proc. Asilomar Conference on Signals, Systems, and Computers, vol. 2, pp. 1811-1815, Pacific Grove, CA, Oct. 1998. [pdf]
  315. R. Merched and A. H. Sayed, “Block trigonometric transform adaptive filtering,” Proc. Asilomar Conference on Signals, Systems, and Computers, vol. 1, pp. 384-388, Pacific Grove, CA, Oct. 1998. [pdf]
  316. V. H. Nascimento and A. H. Sayed, “Are ensemble-average learning curves reliable in evaluating the performance of adaptive filters?” Proc. Asilomar Conference on Signals, Systems, and Computers, vol. 2, pp. 1171-1175, Pacific Grove, CA, Oct. 1998. [pdf]
  317. V. H. Nascimento and A. H. Sayed, “Stability of the LMS adaptive filter by means of a state equation,” Proc. 36th Annual Allerton Conference on Communication, Control, and Computing, pp. 242-251, Monticello, IL, Sep. 1998. [pdf]
  318. N. Al-Dhahir and A. H. Sayed, “A parallel low-complexity coefficient computation processor for the MMSE decision feedback equalizer,” Proc. Asilomar Conference on Signals, Systems, and Computers, vol. 2, pp. 1586-1590, CA, Nov. 1997. [pdf ]
  319. A. H. Sayed, A. Garulli, V. Nascimento, and S. Chandrasekaran, “Exponentially-weighted iterative solutions for worst-case parameter estimation,” CDROM Proceedings of the 5th IEEE Mediterranean Conference On Control and Systems, Focus Interactive Technology (NY), Cyprus, July 1997. [pdf]
  320. A. H. Sayed, A. Garulli, and S. Chandrasekaran, “A fast iterative solution for worst-case parameter estimation with bounded model uncertainties,” Proc. American Control Conference, vol. 3, pp. 1499-1503, NM, June 1997. [pdf]
  321. S. Chandrasekaran, G. Golub, M. Gu, and A. H. Sayed, “Best-fit parameter estimation for a bounded errors-in-variables model,” Proc. American Control Conference, vol. 1, pp. 166-170, NM, June 1997. [pdf]
  322. S. Chandrasekaran, G. Golub, M. Gu, and A. H. Sayed, “Worst-case parameter estimation with bounded model uncertainties,” Proc. American Control Conference, vol. 1, pp. 171-175, NM, June 1997. [pdf]
  323. V. Nascimento and A. H. Sayed, “Lp robustness and exponential convergence of some estimation schemes in adaptive control,” Proc. American Control Conference, vol. 1, pp. 337-342, NM, June 1997. [pdf]
  324. A. H. Sayed, A. Garulli, and S. Chandrasekaran, “Iterative solutions of min-max parameter estimation with bounded data uncertainties,” Proc. ICASSP, pp. 3561-3564, Munich, Germany, Apr. 1997. [pdf]
  325. V. H. Nascimento and A. H. Sayed, “An unbiased and cost-effective leaky-LMS filter,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 1078-1082, CA, Oct. 1996. [pdf]
  326. M. Rupp and A. H. Sayed, “Robustness and convergence of adaptive schemes in blind equalization,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 271-275, CA, Oct. 1996. [pdf ]
  327. A. H. Sayed and M. Rupp, “Robustness and convergence of adaptive schemes in blind equalization and neural network training,” Proc. Eusipco Signal Processing, pp. 1405-1409, Trieste, Italy, Sep. 1996. [pdf]
  328. M. Rupp and A. H. Sayed, “On the robustness of Perceptron learning recurrent networks,” Proc. 13th IFAC World Congress, vol. 1, pp. 243-248, San Francisco, Jun. 1996. [pdf]
  329. M. Rupp and A. H. Sayed, “A robustness analysis of Gauss-Newton recursive methods,”Proc. Conference on Decision and Control, vol. 1, pp. 210-215, New Orleans, LA, Dec. 1995. [pdf]
  330. S. Haykin, A. H. Sayed, J. Zeidler, P. Yee, and P. Wei, “Tracking of linear time-variant systems,” Proc. MILCOM, pp. 602-606, San Diego, Nov. 1995. [pdf]
  331. A. H. Sayed and M. Rupp, “A feedback analysis of Perceptron learning for neural networks,” Proc. 29th Asilomar Conference on Signals, Systems, and Computers, vol. 2, pp. 894-898, CA, Oct. 1995. [pdf]
  332. M. Rupp and A. H. Sayed, “Modified FxLMS algorithms with improved convergence performance,” Proc. 29th Asilomar Conference on Signals, Systems, and Computers, vol. 2, pp. 1255-1259, CA, Oct. 1995. [pdf]
  333. M. Rupp and A. H. Sayed, “Two variants of the FxLMS algorithm,” Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, Oct. 1995. [pdf]
  334. A. H. Sayed and M. Rupp, “A time-domain feedback-analysis of recursive identification schemes,” Proc. 3rd IEEE Mediterranean Symposium on New Directions in Control and Automation, vol. 1, pp. 249-256, Limassol, Cyprus, July 1995. [pdf]
  335. M. Rupp and A. H. Sayed, “Local and global passivity relations for Gauss-Newton methods in adaptive filtering,” Proc. SPIE Conference on Advanced Signal Processing: Algorithms, Architectures, and Implementations, F.T. Luk, editor, vol. 2563, pp. 218-229, San Diego, CA, July 1995. [pdf]
  336. A. H. Sayed and M. Rupp, “A time-domain feedback analysis of adaptive gradient algorithms via the small gain theorem,” Proc. SPIE Conference on Advanced Signal Processing: Algorithms, Architectures, and Implementations , F.T. Luk, ed., vol. 2563, pp. 458-469, San Diego, CA, July 1995. [pdf]
  337. A. H. Sayed and M. Rupp, “A class of adaptive nonlinear Hoo filters with guaranteed l_2 stability,” Proc. IFAC Symposium on Nonlinear Control System Design, vol. 1, pp. 455-460, Tahoe City, CA, Jun. 1995. [pdf]
  338. A. H. Sayed and P. V. Kokotovic, “A note on a Lyapunov argument for stochastic gradient methods in the presence of noise,” Proc. American Control Conference, vol. 1, pp. 587-588, Seattle, WA, Jun. 1995. [pdf]
  339. A. H. Sayed, B. Hassibi, and T. Kailath, “Fundamental inertia conditions for the solution of H_oo problems,” Proc. American Control Conference, vol. 6, pp. 4389-4393, Seattle, WA, Jun. 1995. [pdf ]
  340. A. H. Sayed and T. Kailath, “Oblique state-space estimation algorithms,” Proc. American Control Conference, vol. 3, pp. 1969-1973, Seattle, WA, Jun. 1995. [pdf]
  341. M. Rupp and A. H. Sayed, “On the stability and convergence of Feintuch’s algorithm for adaptive IIR filtering,” Proc. ICASSP, vol. 2, pp. 1388-1391, Detroit, MI, May 1995. [pdf]
  342. B. Hassibi, A. H. Sayed and T. Kailath, “Square-root arrays and Chandrasekhar recursions for Hoo problems,” Proc. Conference on Decision and Control, vol. 3, pp. 2237-2242, Orlando, FL, Dec. 1994. [pdf]
  343. A. H. Sayed and M. Rupp, “On the robustness, convergence, and minimax performance of instantaneous-gradient adaptive filters,” Proc. Asilomar Conference on Signals, Systems, and Computers, pp. 592-596, October 1994. [pdf]
  344. A. H. Sayed, “Time-variant structured matrices: An application to instrumental variable methods,” Proc. SPIE Conference on Advanced Signal Processing: Algorithms, Architectures, and Implementations, vol. 2296, pp. 516-527, San Diego, CA, July 1994. [pdf]
  345. B. Hassibi, A. H. Sayed and T. Kailath, “LMS is Hoo optimal,” Proc. Conference on Decision and Control, vol. 1, pp. 74-79, San Antonio, TX, Dec. 1993. [pdf]
  346. B. Hassibi, A. H. Sayed and T. Kailath, “Recursive linear estimation in Krein spaces – Part I: Theory,” Proc. Conference on Decision and Control, vol. 4, pp. 3489-3494, San Antonio, TX, Dec. 1993. [pdf]
  347. B. Hassibi, A. H. Sayed and T. Kailath, “Recursive linear estimation in Krein spaces – Part II: Applications,” Proc. Conference on Decision and Control, vol. 4, pp. 3495-3500, San Antonio, TX, Dec. 1993. [pdf]
  348. N. Al-Dhahir, A. H. Sayed and J. M. Cioffi, “A high-performance cost-effective pole-zero MMSE-DFE,” Proc. Allerton Conference on Communication, Control and Computing, pp. 1166-1175, Monticello, IL, Sep. 1993. [pdf]
  349. B. H. Khalaj, A. H. Sayed and T. Kailath, “A unified approach to multichannel least-squares algorithms,” Proc. ICASSP, vol. 5, pp. 523-526, MN, Apr. 1993. [pdf]
  350. A. H. Sayed and T. Kailath, “A state-space approach to adaptive filtering,” Proc. ICASSP, vol. 3, pp. 559-562, MN, Apr. 1993. [pdf]
  351. A. H. Sayed and T. Kailath, “Displacement structure and rational interpolation theory,” Proc. 1993 MTNS, vol. 2, pp. 861-864, Regensburg, Germany, 1994. [pdf]
  352. T. Kailath, A. H. Sayed and T. Constantinescu, “Time-variant displacement structure: Theory and applications,” Proc. 1993 MTNS, vol. 2, pp. 731-734, Regensburg, Germany, 1994.
  353. B. Hassibi, A. H. Sayed and T. Kailath, “Recursive linear estimation in Krein spaces with applications to Hoo problems,” Proc. 1993 MTNS, vol. 2, pp. 703-706, Regensburg, Germany, 1994.
  354. A. H. Sayed, T. Constantinescu, and T. Kailath, “Lattice structures for time-variant interpolation problems,” Proc. Conference on Decision and Control, vol. 1, pp. 116-121, Tucson, Arizona, Dec. 1992. [pdf]
  355. A. H. Sayed and T. Kailath, “Structured matrices and fast RLS adaptive filtering,” Proc. 2nd IFAC Workshop on Algorithms and Architectures for Real-Time Control, pp. 211-216, Seoul, Korea, Sep. 1992. [pdf]
  356. T. Constantinescu, A. H. Sayed and T. Kailath, “A Schur-based approach to the four-block problem,” Proc. American Control Conference, vol. 3, pp. 1860-1864, IL, Jun. 1992.
  357. A. H. Sayed and T. Kailath, “Recursive solutions to rational interpolation problems,” Proc. ISCAS, vol. 5, pp. 2376-2379, San Diego, May 1992. [pdf]
  358. A. H. Sayed, H. Lev-Ari and T. Kailath, “Lattice filter interpretations of the Chandrasekhar recursions for estimation and spectral factorization,” Proc. ICASSP, vol. 4, pp. 549-552, San Francisco, CA, Mar. 1992. [pdf]
  359. T. Kailath and A. H. Sayed, “Fast algorithms for generalized displacement structures,” Proc. MTNS, vol. 2, pp. 27-32, Kobe, Japan, Jun. 1991. [pdf]