Yu-Ling Chen

FedCANA: Communication-Efficient Adaptive Neighborhood Aggregation for Personalized Federated Learning under Non-IID Data

: Personalized federated learning (PFL) aims to address the insufficient adaptability of a single global model caused by Non-IID data. It improves client-specific performance by learning customized models for different clients. However, existing PFL methods based on similarity modeling often struggle to balance persona...