Memory-Enhanced Distributed Accelerated Algorithms for Coordinated Linear Computation

In this paper, a memory-enhanced distributed accelerated algorithm is proposed for solving large-scale systems of linear equations within the context of multi-agent systems. By employing a local predictor consisting of a linear combination of the nodes' current and previous values, the inclusio...

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Veröffentlicht in:	IEEE transactions on signal and information processing over networks Jg. 11; S. 35 - 47
Hauptverfasser:	Ding, Shufen, Meng, Deyuan, Du, Mingjun, Cai, Kaiquan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2025
Schlagworte:	consensus Convergence Convergence rate Distributed algorithms Distributed databases Information processing iterative method Jacobian matrices Multi-agent systems Prediction algorithms Signal processing algorithms Symmetric matrices Vectors
ISSN:	2373-776X, 2373-7778
Online-Zugang:	Volltext
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