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.
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: