FedLAS adds feature-norm based confidence detection and bidirectional gating to label smoothing losses to reduce calibration error on vision benchmarks while preserving accuracy.
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FedLAS: Feature-Modulated Bidirectional Label Smoothing for Neural Network Calibration
FedLAS adds feature-norm based confidence detection and bidirectional gating to label smoothing losses to reduce calibration error on vision benchmarks while preserving accuracy.