| Fed-BioMed: open, transparent and trusted federated learning for real-world healthcare applications F Cremonesi, M Vesin, S Cansiz, Y Bouillard, I Balelli, L Innocenti, S Silva, ... arXiv preprint arXiv:2304.12012, 2023 | 6 | 2023 |
| Validation of Federated Unlearning on Collaborative Prostate Segmentation Y Fraboni, L Innocenti, M Antonelli, R Vidal, L Kameni, S Ourselin, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
