The EU RIA project 826078 FeatureCloud has been granted a total volume of EUR 4,646,000,00. The project was submitted to the H2020-SC1-FA-DTS-2018-2020 call “Trusted digital solutions and Cybersecurity in Health and Care”. The lead is done by TU Munich and we are excited to work in a super cool project consortium together with our partners from Odense, Marburg/Lahn, Maastricht and Vienna for the next 60 months. The project’s ground-breaking novel federated cloud-AI infrastructure only exchanges learned representations (the feature parameters theta θ, hence the name “feature cloud”) which are anonymous by default (privacy-by-design, no hassle with sensible real medical data – no ethical issues, the data remains at their place of origin). Collectively, our highly interdisciplinary consortium from AI and machine learning to medicine covers all aspects of the state-of-the-art machine learning value chain: assessment of cyber risks, legal considerations and international policies, development of state-of-the-art federated machine learning technology coupled to blockchaining, encompasing AI-ethics research and going towards explainable-AI. We are lead of “supervised machine learning” and explainable-AI. FeatureCloud’s goals are challenging bold, obviously, but achievable. It can be seen as an European Apollo program to pave the way for a socially agreeable “big data era” for the benefit of future medicine. Congratulations to the great project consortium!
2019 – 2024
Federated Machine Learning, Privacy-by-Design, Privacy Aware Machine Learning, Health Informatics, Machine Learning, explainable AI