Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning

Guangyu Sun, Umar Khalid, Matias Mendieta +2

Federated learning (FL) has emerged as a promising paradigm for enabling the collaborative training of models without centralized access to the raw data on local devices. In the ty…