Adaptive entropy and robust aggregation for client selection in federated credit risk modeling
Abstract Federated learning enables collaborative modeling for financial risk prediction including credit default and transaction fraud without exposing raw local data. However, client heterogeneity, Non-IID data distribution, and dynamic participant involvement inevitably degrade model performance and incur excessive...