CD${}^2$-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning

Yiqing Shen, Yuyin Zhou, Lequan Yu

Federated learning (FL) is a distributed learning paradigm that enables multiple clients to collaboratively learn a shared global model. Despite the recent progress, it remains cha…