2 papers
math.OC2023
Distributed Stochastic Optimization under a General Variance Condition
Kun Huang, Xiao Li, Shi Pu
Distributed stochastic optimization has drawn great attention recently due to its effectiveness in solving large-scale machine learning problems. Though numerous algorithms have be…
math.OC2023
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
Kun Huang, Shi Pu
In this paper, we consider solving the distributed optimization problem over a multi-agent network under the communication restricted setting. We study a compressed decentralized s…