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20212026
most citedImproving the Transient Times for Distributed Stochastic Gradient Methods

5 citations · 6 across the 6 of their papers we have counts for

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math.OC2025

Distributed Stochastic Momentum Tracking with Local Updates: Achieving Optimal Communication Complexities

Kun Huang, Shi Pu

We propose Local Momentum Tracking (LMT), a novel distributed stochastic gradient method for solving distributed optimization problems over networks. To reduce communication overhe…

math.OC2025

Decentralized Min-Max Optimization with Gradient Tracking

Runze You, Kun Huang, Shi Pu

This paper presents a novel distributed formulation of the min-max optimization problem. Such a formulation enables enhanced flexibility among agents when optimizing their maximiza…