Dan Huan

FedEntGate: synergistic attention optimization of entropy-aware dynamic gating and differential privacy in heterogeneous federated learning

FedEntGate’s capability to significantly advance the practical Pareto frontier is demonstrated, achieving a superior balance across the three competing objectives, and the framework thus presents a secure and efficient solution for privacy-sensitive applications such as healthcare and finance.