Page 60 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

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Item Details
Model Training and – Supports federated analytics for privacy-preserving data analysis
Fine-Tuning across decentralized datasets.
– Utilizes federated averaging techniques and secure aggregation
protocols for decentralized training.
– Incorporates privacy-preserving enhancements (e.g., differential
privacy) and supports heterogeneous model fine-tuning across data
silos.
– Additionally, federated inference can be developed, enabling
predictions without transferring data from heterogeneous sources.
Testbeds or Pilot The platform is hosted, operated, and managed by CERN, ensuring
Deployments robust infrastructure, security, and neutrality as part of its status as a
non-profit international organization focused on non-military applica-
tions.

Code repositories Not Available (not open sourced)

2 Use Case Description

2�1 Description

CAFEIN is a cutting-edge federated learning platform developed at CERN. It addresses the
challenge of training robust AI models in scenarios where data is distributed and sensitive.
By enabling collaborative model training without centralising data, the platform enhances
privacy, regulatory compliance, and data sovereignty. CAFEIN integrates state-of-the-art
federated learning protocols with privacy-enhancing technologies, thus providing a scalable,
secure, and efficient solution for multi-institutional AI projects. CAFEIN is a comprehensive, fully
hosted platform—not just a framework—that provides an integrated software framework, robust
software infrastructure, and dedicated server-side hardware infrastructure. The platform is
hosted, operated, and managed by CERN, ensuring that it benefits from CERN’s internationally
recognized network security, as well as its status as a non-profit international organization with
non-military application principles.

Use Case Status: Operationally deployed, actively utilized, and iteratively optimized

Partners: CERN, World Health Organization (WHO) [8], the World Food Programme (WFP)
[9], Fondazione Policlinico Universitario Agostino Gemelli Irccs (Italy) [10], Fundació Eurecat
(Spain) [11], Fundació Hospital Universitari Vall D'Hebron – Institut de Recerca (Spain) [12],
Katholieke Universiteit Leuven (Belgium) [13], Universität Basel (Switzerland) [14], and Siemens
Healthineers AG (Germany) [15], among others.

2�2 Benefits of use case

Minimum Viable Product

• Good Health and Well-being – CAFEIN supports healthcare applications by enabling
secure, decentralized analytics on sensitive health data, thereby improving medical
research and patient care outcomes while maintaining data privacy.

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