Xiaowen Li
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2026
Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery
The paper proposes Federated Adversarial Unlearning (FAUN), a lightweight framework that uses adversarial optimization on a proxy dataset to rapidly and effectively remove the negative impact of poisoned client updates in federated learning.
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