FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning

Meilu Zhu, Qiushi Yang, Zhifan Gao +2

Federated learning (FL) has shown great potential in medical image computing since it provides a decentralized learning paradigm that allows multiple clients to train a model colla…