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math.OC2021
Distributed Random Reshuffling over Networks
Kun Huang, Xiao Li, Andre Milzarek +2
In this paper, we consider distributed optimization problems where agents, each possessing a local cost function, collaboratively minimize the average of the local cost functio…
math.OC2021
Compressed Gradient Tracking Methods for Decentralized Optimization with Linear Convergence
Yiwei Liao, Zhuorui Li, Kun Huang +1
Communication compression techniques are of growing interests for solving the decentralized optimization problem under limited communication, where the global objective is to minim…