66 citations · 283 across the 24 of their papers we have counts for
Showing 2017 · math.OCShow all
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math.OC2017★ 3 cited
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…
math.OC2017★ 6 cited
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…
math.OC2017★ 16 cited
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…