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most citedFL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective

15 citations · 16 across the 6 of their papers we have counts for

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cs.LG2022

FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices

Minxue Tang, Jianyi Zhang, Mingyuan Ma +5

Federated adversarial training can effectively complement adversarial robustness into the privacy-preserving federated learning systems. However, the high demand for memory capacit…