Exponential convergence of a distributed divide-and-conquer algorithm for constrained convex optimization on networks

We propose a divide-and-conquer (DAC) algorithm for constrained convex optimization over networks, where the global objective is the sum of local objectives attached to individual agents. The algorithm is fully distributed: each iteration solves local subproblems around selected fusion centers and c...

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Bibliographic Details

Published in:	Expositiones mathematicae Vol. 43; no. 6; p. 125740
Main Authors:	Emirov, Nazar, Song, Guohui, Sun, Qiyu
Format:	Journal Article
Language:	English
Published:	Elsevier GmbH 01.12.2025
Subjects:	Constrained convex optimization on network Distributed and decentralized algorithm Divide and conquer algorithm secondary Constrained convex optimization on network Distributed and decentralized algorithm Divide and conquer algorithm primary
ISSN:	0723-0869
Online Access:	Get full text
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