The Future of Digital Health with Federated Learning

18 Mar 2020Nicola RiekeJonny HancoxWenqi LiFausto MilletariHolger RothShadi AlbarqouniSpyridon BakasMathieu N. GaltierBennett LandmanKlaus Maier-HeinSebastien OurselinMicah ShellerRonald M. SummersAndrew TraskDaguang XuMaximilian BaustM. Jorge Cardoso

Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully exploited by ML primarily because it sits in data silos and privacy concerns restrict access to this data... (read more)

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