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Heterogeneous-Systems

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We present an algorithm to dynamically adjust the data assigned for each worker at every epoch during the training in a heterogeneous cluster. We empirically evaluate the performance of the dynamic partitioning by training deep neural networks on the CIFAR10 dataset.

Creat2021-04-08T12:38:46
Update2024-07-11T15:38:42
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