Adaptive Networks – ASL – Adaptive Systems Laboratory

Dual consensus proximal algorithm for multi-agent sharing problems

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Frequency-domain diffusion adaptation over networks

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Second-order guarantees of stochastic gradient descent in non-convex optimization,

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Regularized diffusion adaptation via conjugate smoothing,

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Adaptive social learning

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Belief control strategies for interactions over weakly-connected graphs

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Decentralized proximal gradient algorithms with linear convergence rates

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Decision learning and adaptation over multi-task networks

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Multi-agent fully decentralized value function learning with linear convergence rates,

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Distributed learning in non-convex environments – Part II: Polynomial escape from saddle points

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