Optimal convergence rates of totally asynchronous optimization

Asynchronous optimization algorithms are at the core of modern machine learning and resource allocation systems. However, most convergence results consider bounded information delays and several important algorithms lack guarantees when they operate under total asynchrony. In this paper, we derive e...

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Bibliographic Details

Published in:	Proceedings of the IEEE Conference on Decision & Control pp. 6484 - 6490
Main Authors:	Wu, Xuyang, Magnusson, Sindri, Reza Feyzmahdavian, Hamid, Johansson, Mikael
Format:	Conference Proceeding
Language:	English
Published:	IEEE 06.12.2022
Subjects:	Computational modeling Delays Indexes Machine learning Machine learning algorithms Numerical models Resource management
ISSN:	2576-2370
Online Access:	Get full text
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