Distributed constrained optimization over unbalanced graphs and delayed gradient

In this paper, we investigate a distributed constrained optimization problem subject to convex, closed, and nonidentical set constraints over unbalanced graphs, where each agent has local access to its strongly convex objective function and collaborates, minimizing the sum of these functions. To add...

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Veröffentlicht in:	Journal of the Franklin Institute Jg. 362; H. 2; S. 107466
Hauptverfasser:	Huang, Qing, Fan, Yuan, Cheng, Songsong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.01.2025
Schlagworte:	Convergence Distributed optimization Gradient delay Nonidentical constraints Unbalanced graphs Distributed optimization Nonidentical constraints Gradient delay Unbalanced graphs Convergence
ISSN:	0016-0032
Online-Zugang:	Volltext
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