Adaptive Weighting Push-SUM for Decentralized Optimization With Statistical Diversity

Statistical diversity is a property of data distribution and can hinder the optimization of a decentralized network. However, the theoretical limitations of the Push-SUM protocol reduce the performance in handling the statistical diversity of optimization algorithms based on it. In this article, we...

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Vydané v:	IEEE transactions on control of network systems Ročník 12; číslo 3; s. 2337 - 2349
Hlavní autori:	Zhou, Yiming, Cheng, Yifei, Xu, Linli, Chen, Enhong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Analytical models Communication networks Control systems Convergence directed decentralized optimization distributed algorithms/control learning Network systems Optimization Protocols Robustness Training Upper bound Upper bounds Vectors Weighting methods
ISSN:	2325-5870, 2372-2533
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