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10/10/2022
On the Performance of Gradient Tracking with Local Updates
We study the decentralized optimization problem where a network of n age...
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10/19/2021
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
We study the consensus decentralized optimization problem where the obje...
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05/17/2021
Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD
We consider decentralized stochastic optimization problems where a netwo...
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06/15/2020
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features
This work studies multi-agent sharing optimization problems with the obj...
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05/20/2019
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
Decentralized optimization is a promising paradigm that finds various ap...
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03/26/2019