A gradient-free distributed optimization method for convex sum of nonconvex cost functions

This article presents a special type of distributed optimization problems, where the summation of agents' local cost functions (i.e., global cost function) is convex, but each individual can be nonconvex. Unlike most distributed optimization algorithms by taking the advantages of gradient, the...

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Main Authors: Pang, Yipeng, Hu, Guoqiang
其他作者: School of Electrical and Electronic Engineering
格式: Journal Article
语言:English
出版: 2023
主题:
在线阅读:https://hdl.handle.net/10356/170517

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