most citedToward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning

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cs.LG2026

RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility

Dawood Wasif, Terrence J. Moore, Jin-Hee Cho

Federated Learning (FL) has gained prominence in machine learning applications across critical domains by enabling collaborative model training without centralized data aggregation…

cs.LG2025

Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI

Dawood Wasif, Dian Chen, Sindhuja Madabushi +3

Federated Learning (FL) enables collaborative model training while preserving data privacy; however, balancing privacy preservation (PP) and fairness poses significant challenges.…