2023
zPROBE: Zero Peek Robustness Checks for Federated Learning
ICCV 2023poster
Privacy-preserving federated learning allows multiple users to jointly train a model with coordination of a central server. The server only learns the final aggregation result, thereby preventing leakage of the users' (private) training data from the individual model updates. However, keeping the in…