Partial model sharing in federated conformal prediction protects against Byzantine clients in both training and calibration, yielding closer-to-nominal coverage and tighter intervals than standard approaches.
Continual local updates for federated learning with enhanced robustness to link noise
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Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction
Partial model sharing in federated conformal prediction protects against Byzantine clients in both training and calibration, yielding closer-to-nominal coverage and tighter intervals than standard approaches.