About us

Fed-BioMed, an open-source federated learning framework

What is Fed-BioMed?

Fed-BioMed is an open source project focused on empowering biomedical research using non-centralized approaches for statistical analysis. The project is currently based on Python and PyTorch, and enables developing and deploying federated learning analysis in real-world machine learning application.

The goal of Fed-BioMed is to provide a simplified and secured environment to:

• Easily deploy state-of-the art federated learning analysis frameworks,
• Provide a friendly user interface to share data for federated learning experiments,
• Allow researchers to easily deploy their models and analysis methods,
• Foster research and collaborations in federated learning.

Fed-BioMed is an ongoing initiative, and the code is available on GitLab.

Contributors:

Fed-BioMed software has been founded by the French Computer Science Institute INRIA. Contributors are coming from public research as well as companies (involved in a public - private partnership). Coming Soon !