CAFEIN: A federated learning platform for the development and deployment of AI-based analysis and prediction models

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CAFEIN (Computational Algorithms for Federated Environments: Integration and Networking) is a Federated Learning (FL) platform developed at CERN to address critical challenges in medical diagnostics and research. The platform ensures patient data confidentiality by keeping all data local.

 

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Key Features of our Platforms

Privacy-first approach

The platform utilizes FL and security features to ensure data privacy.

Collaboration

The platform facilitates seamless collaboration, driving innovation and AI-driven analysis and prediction.

Scalability and Flexibility

The platform offers scalable and flexible solutions tailored to your unique requirements.

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