We are an applied research team focused on developing and deploying advanced learning methods for graphs and networks, including federated learning and graph neural networks. Our team is committed to trust, transparency, sustainability, and societal benefit.

CAFEIN is a federated learning platform designed for accessible, flexible, scalable, and privacy-preserving workflows. Born at CERN to meet the data challenges of particle physics and accelerator science, CAFEIN now drives innovation in healthcare, industrial maintenance, and international collaborations.

Our mission is to transfer federated AI solutions from research to society, giving healthcare institutions, industries, and scientific collaborations access to privacy-first, trustworthy, and scalable AI workflows. We focus on diagnostics, prediction, and decision support, while upholding the highest standards of data protection, regulatory compliance, and accessibility for all users.

Advanced AI technologies for complex scientific and engineering environments, with a focus on knowledge transfer to healthcare. 

Federated learning and GNNs for scalable, privacy-respecting, and interpretable modelling, applied in collaborative healthcare settings. 

CAFEIN® , CERN’s federated learning platform, supported by CERN’s secure and high-performance computing infrastructure. 

Our partners

Identity ‒ Organization and identity ‐ EPFL
Sapienza University of Rome | Traincrease