The Convergence of Stochastic Gradient Descent in Asynchronous Shared Memory

DOI10.1145/3212734.3212763zbMath1428.68229arXiv1803.08841OpenAlexW2963408258MaRDI QIDQ5197680

Dan Alistarh, Nikola Konstantinov, Christopher de Sa

Publication date: 19 September 2019

Published in: Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.08841

zbMATH Keywords

lower boundsshared memorystochastic gradient descentdistributed optimization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Distributed algorithms (68W15)

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