Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning
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DOI: 10.1109/tifs.2024.3360869
Abstract: Federated learning (FL) allows clients at the edge to learn a shared global model without disclosing their private data. However, FL is susceptible to poisoning attacks, wherein an adversary injects tainted local models that ultimately… read more here.
Keywords: survival space; depriving survival; federated learning; global model ... See more keywords