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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Vydané v:	IEEE transactions on information theory Ročník 68; číslo 11; s. 7254 - 7280
Hlavní autori:	Michelusi, Nicolo, Scutari, Gesualdo, Lee, Chang-Shen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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