Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning
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DOI: 10.1109/tetc.2020.3043300
Abstract: As a widely used iterative algorithm, the distributed Stochastic Gradient Descent (SGD) has shown great advances in training machine learning models due to the reduced time of the gradients computation. However, the huge number of… read more here.
Keywords: communication; compensation; pulling reduction; local compensation ... See more keywords