753 citations · 5.3k across the 110 of their papers we have counts for
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Distributed Coupled Multi-Agent Stochastic Optimization
Sulaiman A. Alghunaim, Ali H. Sayed
This work develops effective distributed strategies for the solution of constrained multi-agent stochastic optimization problems with coupled parameters across the agents. In this…
Performance Limits of Stochastic Sub-Gradient Learning, Part II: Multi-Agent Case
Bicheng Ying, Ali H. Sayed
The analysis in Part I revealed interesting properties for subgradient learning algorithms in the context of stochastic optimization when gradient noise is present. These algorithm…
Exact Diffusion for Distributed Optimization and Learning --- Part II: Convergence Analysis
Kun Yuan, Bicheng Ying, Xiaochuan Zhao +1
Part I of this work [2] developed the exact diffusion algorithm to remove the bias that is characteristic of distributed solutions for deterministic optimization problems. The algo…
Exact Diffusion for Distributed Optimization and Learning --- Part I: Algorithm Development
Kun Yuan, Bicheng Ying, Xiaochuan Zhao +1
This work develops a distributed optimization strategy with guaranteed exact convergence for a broad class of left-stochastic combination policies. The resulting exact diffusion st…