Momentum-based distributed gradient tracking algorithms for distributed aggregative optimization over unbalanced directed graphs

This paper studies a distributed aggregative optimization problem over a directed graph with the row-stochastic weighted matrix. Different from the existing work on distributed optimization, the local cost function of each agent depends both on its local decision variable and on the sum of all funct...

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Veröffentlicht in:	Automatica (Oxford) Jg. 164; S. 111596
Hauptverfasser:	Wang, Zhu, Wang, Dong, Lian, Jie, Ge, Hongwei, Wang, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2024
Schlagworte:	Acceleration Distributed aggregative optimization Gradient tracking Linear convergence Row-stochastic weighted matrix Row-stochastic weighted matrix Gradient tracking Distributed aggregative optimization Linear convergence Acceleration
ISSN:	0005-1098, 1873-2836
Online-Zugang:	Volltext
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