Federated Transfer Learning with Differential Privacy

Mengchu Li, Ye Tian, Yang Feng +1

Federated learning has emerged as a powerful framework for analysing distributed data, yet two challenges remain pivotal: heterogeneity across sites and privacy of local data. In t…