A hybrid sparse Byzantine attack using network pruning insights and slow accumulation bypasses eight state-of-the-art defenses in federated learning simulations.
Byzantine-robust aggregation with gradi- ent difference compression and stochastic variance reduction for federated learning,
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Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
A hybrid sparse Byzantine attack using network pruning insights and slow accumulation bypasses eight state-of-the-art defenses in federated learning simulations.