18 citations · 34 across the 3 of their papers we have counts for
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cs.LG2021★ 2 cited
Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks
Zhenwei Dai, Chen Dun, Yuxin Tang +2
Federated learning enables many local devices to train a deep learning model jointly without sharing the local data. Currently, most of federated training schemes learns a global m…
cs.LG2019★ 18 cited
Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients
Zhenwei Dai, Reinhard Heckel
Normalization layers are widely used in deep neural networks to stabilize training. In this paper, we consider the training of convolutional neural networks with gradient descent o…