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Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis

26 February 2018

Papers citing "Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis"

4 / 154 papers shown

Title
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 216 2,274 0 28 Jun 2011
Distributed Delayed Stochastic Optimization Alekh Agarwal John C. Duchi 139 627 0 28 Apr 2011
Hybrid Deterministic-Stochastic Methods for Data Fitting M. Friedlander Mark Schmidt 222 388 0 13 Apr 2011
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 287 685 0 07 Dec 2010