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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Bibliographic Details
Main Authors: Pang, Yipeng, Hu, Guoqiang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/170517
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Institution: Nanyang Technological University
Language: English