Federated brain tumor segmentation: An extensive benchmark

Matthis Manthe, Stefan Duffner, Carole Lartizien

Abstract: Highlights•An extensive benchmark of state-of-the-art federated learning methods on the recently published FeTS2022 dataset.•The first experiments with personalized and clustered federated learning on the brain tumor segmentation task.•Study of alternative partitionings to provide a better understanding of the behavior of federated learning on this task.