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08/20/2021
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update
Federated learning aims to protect users' privacy while performing data ...
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06/15/2021
S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks
Convolutional neural networks (CNNs) have achieved great success in perf...
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06/07/2021
RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models
Pre-trained language models achieve outstanding performance in NLP tasks...
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07/21/2020
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training
Training Convolutional Neural Networks (CNNs) usually requires a large n...
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08/01/2019