Siloed Federated Learning for Multi-Centric Histopathology Datasets

Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier +1

While federated learning is a promising approach for training deep learning models over distributed sensitive datasets, it presents new challenges for machine learning, especially…