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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Vydané v:	Proceedings of the IEEE Conference on Decision & Control s. 6484 - 6490
Hlavní autori:	Wu, Xuyang, Magnusson, Sindri, Reza Feyzmahdavian, Hamid, Johansson, Mikael
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 06.12.2022
Predmet:	Computational modeling Delays Indexes Machine learning Machine learning algorithms Numerical models Resource management
ISSN:	2576-2370
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