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The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach
29
Zitationen
39
Autoren
2023
Jahr
Abstract
FeatureCloud provides a ready-to-use platform that integrates the development and execution of FL algorithms while reducing the complexity to a minimum and removing the hurdles of federated infrastructure. Thus, we believe that it has the potential to greatly increase the accessibility of privacy-preserving and distributed data analyses in biomedicine and beyond.
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Autoren
- Julian Matschinske
- Julian Späth
- Mohammad Bakhtiari
- Niklas Probul
- Mohammad Mahdi Kazemi Majdabadi
- Reza Nasirigerdeh
- Reihaneh Torkzadehmahani
- Anne Hartebrodt
- Balázs-Attila Orbán
- Sándor-József Fejér
- Olga Zolotareva
- Supratim Das
- Linda Baumbach
- Josch K. Pauling
- Olivera Tomašević
- Béla Bihari
- Marcus Bloice
- Nina C. Donner
- Walid Fdhila
- Tobias Frisch
- Anne-Christin Hauschild
- Dominik Heider
- Andreas Holzinger
- Walter Hötzendorfer
- Jan Hospes
- Tim Kacprowski
- Markus Kastelitz
- Markus List
- Rudolf Mayer
- Mónika Moga
- Heimo Müller
- Anastasia Pustozerova
- Richard Röttger
- Christina C. Saak
- Anna Saranti
- Harald Schmidt
- Christof Tschohl
- Nina K. Wenke
- Jan Baumbach
Institutionen
- Universität Hamburg(DE)
- University of Southern Denmark(DK)
- University Medical Center Hamburg-Eppendorf(DE)
- University of Novi Sad(RS)
- Medical University of Graz(AT)
- Concentris (Germany)(DE)
- SBA Research(AT)
- Universitätsmedizin Göttingen(DE)
- Philipps University of Marburg(DE)
- Medizinische Hochschule Hannover(DE)
- Maastricht University(NL)