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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Veröffentlicht in:	IEEE transactions on control of network systems Jg. 12; H. 3; S. 2337 - 2349
Hauptverfasser:	Zhou, Yiming, Cheng, Yifei, Xu, Linli, Chen, Enhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.09.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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