2 papers
cs.LG2023
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
Yutong He, Xinmeng Huang, Yiming Chen +2
Communication compression is an essential strategy for alleviating communication overhead by reducing the volume of information exchanged between computing nodes in large-scale dis…
cs.LG2022
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
Xinmeng Huang, Kun Yuan
Decentralized optimization with time-varying networks is an emerging paradigm in machine learning. It saves remarkable communication overhead in large-scale deep training and is mo…