Yaowei Han

Understanding the Interplay between Privacy and Robustness in Federated Learning

2021 · arXiv (Cornell University)

Federated Learning (FL) is emerging as a promising paradigm of privacy-preserving machine learning, which trains an algorithm across multiple clients without exchanging their data samples. Recent works highlighted several privacy and robustness weaknesses in FL …