The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.
Julian MatschinskeJulian SpäthMohammad BakhtiariNiklas ProbulMohammad Mahdi Kazemi MajdabadiReza NasirigerdehReihaneh TorkzadehmahaniAnne HartebrodtBalazs-Attila OrbanSándor-József FejérOlga I ZolotarevaSupratim DasLinda BaumbachJosch Konstantin PaulingOlivera TomaševićBéla BihariMarcus D BloiceNina C DonnerWalid FdhilaTobias FrischAnne-Christin HauschildDominik HeiderAndreas Philipp HasslerWalter HötzendorferJan HospesTim KacprowskiMarkus KastelitzMarkus ListRudolf MayerMónika MogaHeimo MüllerAnastasia PustozerovaRichard RöttgerChristina C SaakAnna SarantiHarald H H W SchmidtChristof TschohlNina Kerstin WenkeJan BaumbachPublished in: Journal of medical Internet research (2023)
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.