Federated Transfer Learning with Differential Privacy
arXiv:2403.11343v4 Announce Type: replace-cross
Abstract: 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 this paper, we…