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arXiv · 1809.09258

Asynchronous decentralized accelerated stochastic gradient descent

Guanghui Lan·Yi Zhou
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Abstract

In this work, we introduce an asynchronous decentralized accelerated stochastic gradient descent type of method for decentralized stochastic optimization, considering communication and synchronization are the major bottlenecks. We establish $\mathcal{O}(1/\epsilon)$ (resp., $\mathcal{O}(1/\sqrt{\epsilon})$) communication complexity and $\mathcal{O}(1/\epsilon^2)$ (resp., $\mathcal{O}(1/\epsilon)$) sampling complexity for solving general convex (resp., strongly convex) problems.

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Guanghui Lan, Yi Zhou. 2018-09-24. Asynchronous decentralized accelerated stochastic gradient descent. https://arxiv.org/abs/1809.09258

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