Across eight federated models on MNIST, adversarial attacks active in the final or all rounds generally lower test accuracy more than middle-round attacks, though the pattern depends on attack type and model.
MPAF: Model poisoning attacks to federated learning based on fake clients
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Temporal Analysis of Adversarial Attacks in Federated Learning
Across eight federated models on MNIST, adversarial attacks active in the final or all rounds generally lower test accuracy more than middle-round attacks, though the pattern depends on attack type and model.