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most citedLoss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent

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math.OC2023

Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data

Yonggui Yan, Jie Chen, Pin-Yu Chen +3

We first propose a decentralized proximal stochastic gradient tracking method (DProxSGT) for nonconvex stochastic composite problems, with data heterogeneously distributed on multi…