Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications
Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irène Balelli, Lucia Innocenti, Riccardo Taiello, Santiago Silva, Samy-Safwan Ayed, Melek Önen, Fanny Orlhac, Christophe Nioche, Bastien Houis, Romain Modzelewski, Nathan Lapel, Renaud Schiappa, Olivier Humbert, Marco Lorenzi
Topics & Concepts
Health careComputer scienceOpen sourceReal world dataHuman–computer interactionBusinessData scienceOperating systemEconomicsEconomic growthSoftwarePrivacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and EducationCryptography and Data Security