Edge-Driven Federated Learning System for Secure and Scalable Financial Data Sharing With Privacy Protection
INTRODUCTION: Cross-institutional collaborative financial risk modeling can improve fraud detection and anti-money laundering performance. However, data sensitivity, institutional isolation, non-IID data distributions, and heterogeneous edge nodes make traditional federated learning difficult in terms of privacy protec...