Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana
| Zugehörige Institution(en) am KIT | Karlsruhe Service Research Institute (KSRI) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsjahr | 2022 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-031-18523-6 ISSN: 0302-9743, 1611-3349 KITopen-ID: 1000153154 |
| Erschienen in | Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health – Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Ed.: S. Albarqouni |
| Veranstaltung | 3rd MICCAI Workshop, DeCaF 2022, and 2nd MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022 (2022), Singapur, Singapur, 18.09.2022 – 22.09.2022 |
| Verlag | Springer |
| Seiten | 130–140 |
| Serie | Lecture Notes in Computer Science (LNCS) ; 13573 |
| Vorab online veröffentlicht am | 07.10.2022 |
| Nachgewiesen in | OpenAlex Scopus Dimensions |
| Globale Ziele für nachhaltige Entwicklung |