Different Corruptions, Different Signals: Uncertainty and Loss in Federated Data Quality

Bradley Scott, Zeqi Luo, Edmond S. L. Ho

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 corr…