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Vantage6 common

Project description


vantage6

A privacy preserving federated learning solution

PyPI version

DocumentationContributingReferences


This repository is part of vantage6, our priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange. Other repositories include:

:books: Documentation

This repository contains the code for all common classes, methods, and constants that are shared between the aforementioned vantage6 repositories. For a more detailed, comprehensive guide, please refer to our website (https://vantage6.ai) and the official documentation (https://docs.vantage6.ai/).

:gift_heart: Contributing

We hope to continue developing, improving, and supporting vantage6 with the help of the federated learning community. If you are interested in contributing, first of all, thank you! Second, please take a look at our contributing guidelines

:lock_with_ink_pen: Data Protection Impact Assessment

Deploying Federated Learning solutions in real life often requires careful analysis and approval of a variety of legal entities. As part of these processes, we at IKNL have written a Data Protection Impact Assessment (DPIA), which you can find here. Please note that this DPIA was executed by IKNL and is specific for our situation. It can be used as an example by other organizations, but it cannot be used verbatim.

:black_nib: References

If you are using vantage6, please cite this repository as well as the accompanying paper as follows:

  • Frank Martin, Melle Sieswerda, Hasan Alradhi, et al. vantage6. Available at https://doi.org/10.5281/zenodo.3686944. Accessed on [MONTH, 20XX].
  • Arturo Moncada-Torres, Frank Martin, Melle Sieswerda, Johan van Soest, Gijs Gelijnse. VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange. AMIA Annual Symposium Proceedings, 2020, p. 870-877. [BibTeX, PDF]

vantage6CommonServerNodeClientUIMaster

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