Preprint Open access
Different Corruptions, Different Signals: Uncertainty and Loss in Federated Data Quality
Federated learning (FL) data corruption can affect either inputs or labels, but it remains unclear whether input-conditional uncertainty and prediction-label loss expose these corruption modes equally. This paper compares two corruption-detection signals in FL: input-conditional uncertainty and prediction-label loss. T …