Skip to main content

vantage6 node

Project description


vantage6

A privacy preserving federated learning solution

Release PyPI vantage6 Unittests Coverage Status Codacy Badge DOI

DocumentationContributingReferences


This repository is part of vantage6, our privacy preserving federated learning infrastructure for secure insight exchange, and contains all the vantage6 infrastructure source/ code. Please visit our website (vantage6.ai) to learn more!

:books: Documentation

This repository is home to 6 PyPi packages:

Note that when using vantage6 you do not install the server and node packages. These are delivered to you in Docker images.

Two docker images are published which contain the Node and Server applications:

  • harbor2.vantage6.ai/infrastructure/node:VERSION
  • harbor2.vantage6.ai/infrastructure/server:VERSION

These docker images are used by the vantage6 CLI package, which can be installed by running:

pip install vantage6

This will install the CLI which enables you to use (among others) the commands to manage your nodes and servers:

  • v6 node CMD [OPTIONS]
  • v6 server CMD [OPTIONS]

You can find more (user) documentation at Gitbook (docs.vantage6.ai). If you have any questions, suggestions or just want to chat about federated learning: join our Dircord (https://discord.gg/yAyFf6Y) channel.

:gift_heart: Join the community!

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

:black_nib: References

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

  • F. Martin, M. Sieswerda, H. Alradhi, et al. vantage6. Available at https://doi.org/10.5281/zenodo.7221216. Accessed on MONTH, 20XX.
  • A. Moncada-Torres, F. Martin, M. Sieswerda, J. van Soest, G. Gelijnse. VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange. AMIA Annual Symposium Proceedings, 2020, p. 870-877. [BibTeX, PDF]
  • D. Smits*, B. van Beusekom*, F. Martin, L. Veen, G. Geleijnse, A. Moncada-Torres, An Improved Infrastructure for Privacy-Preserving Analysis of Patient Data, Proceedings of the International Conference of Informatics, Management, and Technology in Healthcare (ICIMTH), vol. 25, 2022, p. 144-147. [BibTeX, PDF]

vantage6.aiDiscordDiscourseUser documentation

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vantage6-node-4.1.0.tar.gz (47.1 kB view details)

Uploaded Source

Built Distribution

vantage6_node-4.1.0-py3-none-any.whl (53.0 kB view details)

Uploaded Python 3

File details

Details for the file vantage6-node-4.1.0.tar.gz.

File metadata

  • Download URL: vantage6-node-4.1.0.tar.gz
  • Upload date:
  • Size: 47.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for vantage6-node-4.1.0.tar.gz
Algorithm Hash digest
SHA256 1942c97adab25eff7f57a62df2bb17acc835eb5fd4cbb1cccd901c9c1d695162
MD5 01fe49c85fb789c520a82ddcc9195ff4
BLAKE2b-256 ef2b5ca96c84fb3fc90ad92088e2268912b18e98af328407d919fbc9b82e00bf

See more details on using hashes here.

File details

Details for the file vantage6_node-4.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for vantage6_node-4.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f50f76113f0c36c269fef8b3930466cd3bcd0b8fda11b9ac3418c242e76c3515
MD5 5ccbca818da7e7a507dbccb905679e56
BLAKE2b-256 cb8310e89157e979aa8572de87e037d3f77f3107777f94f0e3efd07bc5f255cf

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page