Hao-Kai Yang

Personalized Federated Learning via Double Knowledge Distillation for Heterogeneous Model Deployments

Due to distributed data and privacy concerns, federated learning(FL) is a promising approach to learn global models from distributed data, with personalized federated learning (PFL) being a key enabler for customized services in future 6G networks. Federated Distillation (FD) is a classic communication-efficient PFL pa...