FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning

Li Zhang, Zhongxuan Han, Xiaohua Feng +3

With the emerging application of Federated Learning (FL) in decision-making scenarios, it is imperative to regulate model fairness to prevent disparities across sensitive groups (e…