Coding for Large-Scale Distributed Machine Learning

This article aims to give a comprehensive and rigorous review of the principles and recent development of coding for large-scale distributed machine learning (DML). With increasing data volumes and the pervasive deployment of sensors and computing machines, machine learning has become more distribut...

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Bibliographic Details
Published in:	Entropy (Basel, Switzerland) Vol. 24; no. 9; p. 1284
Main Authors:	Xiao, Ming, Skoglund, Mikael
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2022 MDPI
Subjects:	ADMM Algorithms Analysis Blacklisting Coding Coding theory Cognitive tasks Communication Communications networks Computation Distributed processing (Computers) Efficiency Error analysis error-control coding gradient coding Internet of Things Large-scale systems Machine learning Methods Neural networks Nodes Optimization Privacy random codes Review Sweden
ISSN:	1099-4300, 1099-4300
Online Access:	Get full text
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