Essaid Sabir

Fair Bayesian Stackelberg Federated Learning Under Strategic and Heterogeneous Client Participation

Federated learning must accommodate statistical heterogeneity, costly client participation, and distinct fairness objectives for model performance and participation frequency. We introduce Fair Bayesian Stackelberg Federated Learning (FBS-FL), in which a server maintains beliefs over private client cost types and selec...