9 citations · 11 across the 5 of their papers we have counts for
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cs.LG2021★ 1 cited
Optimization-Based GenQSGD for Federated Edge Learning
Yangchen Li, Ying Cui, Vincent Lau
Optimal algorithm design for federated learning (FL) remains an open problem. This paper explores the full potential of FL in practical edge computing systems where workers may hav…
cs.LG2021
An Optimization Framework for Federated Edge Learning
Yangchen Li, Ying Cui, Vincent Lau
The optimal design of federated learning (FL) algorithms for solving general machine learning (ML) problems in practical edge computing systems with quantized message passing remai…
cs.LG2021★ 9 cited
Sample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA
Ying Cui, Yangchen Li, Chencheng Ye
Federated learning (FL) has become a hot research area in enabling the collaborative training of machine learning models among multiple clients that hold sensitive local data. Neve…