Qianyue Cao

PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning

Personalized Federated Learning (PFL) customizes models for each client to mitigate challenges from non-IID data, wherein a dominant strategy is model decoupling that partitions models into shared and personalized parts based on architectural priors (e.g., backbone vs. head). However, we reveal a cr