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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Vydané v:	Automatica (Oxford) Ročník 164; s. 111596
Hlavní autori:	Wang, Zhu, Wang, Dong, Lian, Jie, Ge, Hongwei, Wang, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2024
Predmet:	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
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