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06/12/2022
Stochastic Gradient Descent without Full Data Shuffle
Stochastic gradient descent (SGD) is the cornerstone of modern machine l...
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04/16/2021
Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning
Stochastic Gradient Descent (SGD) has become the de facto way to train d...
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02/28/2019
Speeding up Deep Learning with Transient Servers
Distributed training frameworks, like TensorFlow, have been proposed as ...
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01/12/2019