Xuehe Wang

QI-DPFL: Quality-Aware and Incentive-Boosted Federated Learning with Differential Privacy

2024

Federated Learning (FL) has increasingly been recognized as an innovative and secure distributed model training paradigm, aiming to coordinate multiple edge clients to collaboratively train a shared model without uploading their private datasets. The challenge …