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06/21/2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity
Federated Learning (FL) enables training a global model without sharing ...
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06/22/2021
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN
The recurrent network architecture is a widely used model in sequence mo...
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11/20/2020
Cascade Attentive Dropout for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) aims to classify and locate ob...
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04/08/2019