12 citations · 36 across the 8 of their papers we have counts for
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cs.LG2022★ 5 cited
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
Kun Yuan, Xinmeng Huang, Yiming Chen +3
Decentralized optimization is effective to save communication in large-scale machine learning. Although numerous algorithms have been proposed with theoretical guarantees and empir…
cs.LG2022★ 1 cited
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
Xinmeng Huang, Yiming Chen, Wotao Yin +1
Recent advances in distributed optimization and learning have shown that communication compression is one of the most effective means of reducing communication. While there have be…