Sizai Hou

PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning

2024 · arXiv (Cornell University)

Federated learning (FL) has recently gained significant momentum due to its potential to leverage large-scale distributed user data while preserving user privacy. However, the typical paradigm of FL faces challenges of both privacy and robustness: …