A hybrid variance-reduced method for decentralized stochastic non-convex optimization

12 Feb 2021 Ran Xin Usman A. Khan Soummya Kar

This paper considers decentralized stochastic optimization over a network of~$n$ nodes, where each node possesses a smooth non-convex local cost function and the goal of the networked nodes is to find an~$\epsilon$-accurate first-order stationary point of the sum of the local costs. We focus on an online setting, where each node accesses its local cost only by means of a stochastic first-order oracle that returns a noisy version of the exact gradient... (read more)

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