Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems
Abstract:
While many distributed optimization algorithms have been proposed for solving smooth or convex problems over the networks, few of them can handle non-convex and non-smooth problems. Based on a proximal primal-dual approach, this paper presents a new (stochastic) distributed algorithm with Nesterov momentum for accelerated optimization o...More
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