S-NEAR-DGD: A Flexible Distributed Stochastic Gradient Method for Inexact Communication

We present and analyze a stochastic distributed method (S-NEAR-DGD) that can tolerate inexact computation and inaccurate information exchange to alleviate the problems of costly gradient evaluations and bandwidth-limited communication in large-scale systems. Our method is based on a class of flexibl...

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Hauptverfasser:	Iakovidou, Charikleia, Wei, Ermin
Format:	Artikel
Sprache:	eng
Schlagworte:	Mathematics - Optimization and Control
Online-Zugang:	Volltext bestellen
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