A Distributed Optimization Accelerated Algorithm with Uncoordinated Time-Varying Step-Sizes in an Undirected Network

In recent years, significant progress has been made in the field of distributed optimization algorithms. This study focused on the distributed convex optimization problem over an undirected network. The target was to minimize the average of all local objective functions known by each agent while eac...

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Vydáno v:	Mathematics (Basel) Ročník 10; číslo 3; s. 357
Hlavní autoři:	Lü, Yunshan, Xiong, Hailing, Zhou, Hao, Guan, Xin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.02.2022
Témata:	accelerated method Algorithms Artificial intelligence Computational geometry Convergence Convexity distributed convex optimization Food science linear convergence Machine learning Methods Optimization Optimization algorithms Smoothness uncoordinated undirected network
ISSN:	2227-7390, 2227-7390
On-line přístup:	Získat plný text
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