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20172021
most citedFedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update

10 citations · 27 across the 6 of their papers we have counts for

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cs.CV2020

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training

Pengcheng Dai, Jianlei Yang, Xucheng Ye +5

Training Convolutional Neural Networks (CNNs) usually requires a large number of computational resources. In this paper, \textit{SparseTrain} is proposed to accelerate CNN training…