Distributed proximal gradient algorithm for non-smooth non-convex optimization over time-varying networks
Xia Jiang,
Xianlin Zeng,
Jian Sun
et al.
Abstract:This note studies the distributed non-convex optimization problem with non-smooth regularization, which has wide applications in decentralized learning, estimation and control. The objective function is the sum of different local objective functions, which consist of differentiable (possibly non-convex) cost functions and non-smooth convex functions. This paper presents a distributed proximal gradient algorithm for the non-smooth non-convex optimization problem over time-varying multi-agent networks. Each agen… Show more
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