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Distributed Stochastic Momentum Tracking with Local Updates: Achieving Optimal Communication Complexities
We propose Local Momentum Tracking (LMT), a novel distributed stochastic gradient method for solving distributed optimization problems over networks. To reduce communication overhead, LMT enables each agent to perform multiple local updates between consecutive communication rounds. Specifically, LMT
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