A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates

Yossi Arjevani, Ohad Shamir, Nathan Srebro. A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates. In Aryeh Kontorovich, Gergely Neu, editors, Algorithmic Learning Theory, ALT 2020, 8-11 February 2020, San Diego, CA, USA. Volume 117 of Proceedings of Machine Learning Research, pages 111-132, PMLR, 2020. [doi]

Abstract

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