FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization

Qianyi Zhao, Chen Qu, Cen Chen +2

With increasing concerns and regulations on data privacy, fine-tuning pretrained language models (PLMs) in federated learning (FL) has become a common paradigm for NLP tasks. Despi…