CAFEIN: CERN's Federated Learning Platform for Secure and Collaborative AI

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CAFEIN (Computational Algorithms for Federated Environments: Integration and Networking) is a Federated Learning (FL) platform created at CERN aimed at solving significant issues in predictive maintenance, anomaly detection, and medical diagnostics. The platform ensures data confidentiality by retaining all data locally.

 

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Key Features of Our Platform

Privacy-first approach

We harness advanced Federated Learning methods and robust security measures to ensure data privacy and regulatory compliance.

Seamless Collaboration

Our solution fosters smooth collaboration among distributed teams, promoting innovation and facilitating AI-driven analysis and predictive insights.

Scalable and Flexible

Easily tailor the platform to diverse workloads and organizational needs, ensuring optimal performance and adaptability as requirements evolve.

Medical applications developed using the FL platform:

a. Brain MRI anomaly screening

b. Multi-pathology detection and classification

c. COVID-19 screening tool

See a demo:

https://videos.cern.ch/record/2299756