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CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics

Roy, Shaily et al.
arXiv (All) · Papers
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and-cluster-computingartificial-intelligencedistributedmachine-learningparallel
Modern human sensing applications often rely on data distributed across users and devices, where privacy concerns prevent centralized training. Federated Learning (FL) addresses this challenge by enabling collaborative model training without exposing raw data or attributes. However, achieving fairne
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