BriefGPT.xyz
Apr, 2017
一种具有网络独立步长和分离收敛速度的去中心化近端梯度方法
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
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Zhi Li, Wei Shi, Ming Yan
TL;DR
本文介绍一种新的分布式优化问题的近端-梯度算法,用于处理包含平滑和非平滑项的组合目标,我们提出的新算法与以前的算法相比具有一些优势,例如不需要协调步长和可得到线性收敛。
Abstract
This paper considers the problem of
decentralized optimization
with a composite objective containing
smooth and non-smooth terms
. To solve the problem, a proximal-gradient scheme is studied. Specifically, the smo
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