68 citations · 143 across the 8 of their papers we have counts for
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cs.LG2023★ 1 cited
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression
Boyue Li, Yuejie Chi
Achieving communication efficiency in decentralized machine learning has been attracting significant attention, with communication compression recognized as an effective technique…
cs.LG2022★ 10 cited
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
Zhize Li, Haoyu Zhao, Boyue Li +1
To enable large-scale machine learning in bandwidth-hungry environments such as wireless networks, significant progress has been made recently in designing communication-efficient…
cs.LG2022★ 6 cited
BEER: Fast Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao, Boyue Li, Zhize Li +2
Communication efficiency has been widely recognized as the bottleneck for large-scale decentralized machine learning applications in multi-agent or federated environments. To tackl…