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20142022
most citedA decentralized proximal-gradient method with network independent step-sizes and separated convergence rates

261 citations · 503 across the 19 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

math.OC2017★ 9 cited

New convergence analysis of a primal-dual algorithm with large stepsizes

Zhi Li, Ming Yan

We consider a primal-dual algorithm for minimizing with Fréchet differentiable and . This primal-dual algorithm has two names in literature: Primal-D…

math.OC2017★ 261 cited

A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates

Zhi Li, Wei Shi, Ming Yan

This paper proposes a novel proximal-gradient algorithm for a decentralized optimization problem with a composite objective containing smooth and non-smooth terms. Specifically, th…