2021
Federated Learning of User Verification Models Without Sharing Embeddings
ICML 2021spotlight
We consider the problem of training User Verification (UV) models in federated setup, where each user has access to the data of only one class and user embeddings cannot be shared with the server or other users. To address this problem, we propose Federated User Verification (FedUV), a framework in…