Asynchronous Parallel Nonconvex Optimization Under the Polyak-Łojasiewicz Condition

Communication delays and synchronization are major bottlenecks for parallel computing, and tolerating asynchrony is therefore crucial for accelerating parallel computation. Motivated by optimization problems that do not satisfy convexity assumptions, we present an asynchronous block coordinate desce...

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Veröffentlicht in:	IEEE control systems letters Jg. 6; S. 524 - 529
Hauptverfasser:	Yazdani, Kasra, Hale, Matthew
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2022
Schlagworte:	asynchronous optimization algorithms Convergence Delays Linear programming Machine learning algorithms multi-agent systems nonconvex optimization Optimization Parallel computation Program processors Signal processing algorithms
ISSN:	2475-1456, 2475-1456
Online-Zugang:	Volltext
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