Daguang Xu

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation

2022 · arXiv (Cornell University)

Federated learning (FL) is a distributed machine learning technique that enables collaborative model training while avoiding explicit data sharing. The inherent privacy-preserving property of FL algorithms makes them especially attractive to the medical field. However, …

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

2023 · IEEE Transactions on Medical Imaging

Federated learning (FL) allows the collaborative training of AI models without needing to share raw data. This capability makes it especially interesting for healthcare applications where patient and data privacy is of utmost concern. However, …