Finite-Bit Quantization for Distributed Algorithms With Linear Convergence

This paper studies distributed algorithms for (strongly convex) composite optimization problems over mesh networks, subject to quantized communications. Instead of focusing on a specific algorithmic design, a black-box model is proposed, casting linearly convergent distributed algorithms in the form...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 68; H. 11; S. 7254 - 7280
Hauptverfasser:	Michelusi, Nicolo, Scutari, Gesualdo, Lee, Chang-Shen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Communication Convergence Costs Distributed algorithms Finite element method linear convergence Mathematical models Measurement Mesh networks Optimization optimization methods quantization Quantization (signal) Stars
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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