39 citations · 201 across the 29 of their papers we have counts for
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math.OC2020
PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction
Haishan Ye, Wei Xiong, Tong Zhang
This paper considers the decentralized composite optimization problem. We propose a novel decentralized variance-reduction proximal-gradient algorithmic framework, called PMGT-VR,…
math.OC2020★ 8 cited
Error Compensated Distributed SGD Can Be Accelerated
Xun Qian, Peter Richtárik, Tong Zhang
Gradient compression is a recent and increasingly popular technique for reducing the communication cost in distributed training of large-scale machine learning models. In this work…