Diogo Reis Santos
Staff Data Scientist CERN
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Diogo Reis Santos is a Staff Data Scientist at CERN with expertise in data science, machine learning, and computational biology. He is currently focused on developing and deploying federated learning infrastructure for maintaining complex systems, with healthcare applications through European projects. Diogo holds a Ph.D. in Computational Cardiology from UCL. Beyond his work, he has lectured on deep learning, served as a scientific advisor, and organized several public events.
CAFEIN: CERN’s Federated Learning Platform for Scalable, Accessible, and Privacy-Preserving AI
CAFEIN is a federated learning platform connecting research institutions and industry partners to train AI models on sensitive data without moving it off-site. Built on CERN’s on-premises cloud with Kubernetes, it enables scalable, privacy-preserving training across diverse domains.
This talk outlines CAFEIN’s secure, scalable architecture on Kubernetes, including design decisions enabling federated learning at scale under strict privacy constraints. It also covers integration of tools like Argo CD, Falco, and Prometheus/Grafana to orchestrate distributed training across institutions. It explains how deployment automation and policy controls (Vault for secrets, Kyverno for policies) protect data and manage resources. The session addresses multi-site AI workflow challenges such as network isolation, single sign-on (Keycloak), and monitoring. Attendees will learn practical techniques for orchestrating secure, multi-institution federated learning workflows.
Diogo Reis Santos
Staff Data Scientist CERN
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