GFLC is a new label-correction method that uses confidence scores, graph curvature, and demographic parity to improve both accuracy and fairness under group-dependent label noise.
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GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
GFLC is a new label-correction method that uses confidence scores, graph curvature, and demographic parity to improve both accuracy and fairness under group-dependent label noise.