Distributed Primal-Dual Splitting Algorithm for Multiblock Separable Optimization Problems

This article considers the distributed structured optimization problem of collaboratively minimizing the global objective function composed of the sum of local cost functions. Each local objective function involves a Lipschitz-differentiable convex function, a nonsmooth convex function, and a linear...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 67; H. 8; S. 4264 - 4271
Hauptverfasser:	Li, Huaqing, Wu, Xiangzhao, Wang, Zheng, Huang, Tingwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Asynchronous algorithm Convergence Convex functions Cost function Couplings Distributed algorithms distributed optimization Linear programming Optimization Parameters primal–dual splitting algorithm Simulation Splitting uncoordinated stepsizes
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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