Gradient-free method for nonsmooth distributed optimization

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Gradient-free method for nonsmooth distributed optimization

In this paper, we consider a distributed nonsmooth optimization problem over a computational multi-agent network. We first extend the (centralized) Nesterov’s random gradient-free algorithm and Gaussian smoothing technique to the distributed case. Then, the convergence of the algorithm is proved. Fu...

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Bibliographic Details
Main Authors:	Li, J., Wu, Changzhi, Wu, Z., Long, Q.
Format:	Journal Article
Published:	Springer 2015
Subjects:	Convex optimization Distributed algorithm Gradient-free method Gaussian smoothing
Online Access:	http://hdl.handle.net/20.500.11937/35457

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