ZMASA: Robust Aggregation for Federated Learning Against Byzantine Attacks.
A theoretical analysis showing that, under bounded retained residuals, the aggregation error is controlled by the candidate-set Byzantine contamination, the magnitude of retained Byzantine residuals, and the stability of attention weights, achieves competitive or superior robustness compared with classical and recent r...