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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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Showing 2021Show all

2 papers · 1 filter

cs.LG2021

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare

Muchao Ye, Junyu Luo, Guanjie Zheng +3

Deep neural networks (DNNs) have been broadly adopted in health risk prediction to provide healthcare diagnoses and treatments. To evaluate their robustness, existing research cond…

cs.LG2021★ 10 cited

FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update

Junyu Luo, Jianlei Yang, Xucheng Ye +2

Federated learning aims to protect users' privacy while performing data analysis from different participants. However, it is challenging to guarantee the training efficiency on het…