Skip to main content

Vantage6 client

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 the commands:

  • vnode CMD [OPTIONS]
  • vserver 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

This version

4.0.2

Download files

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

Source Distribution

vantage6-client-4.0.2.tar.gz (18.5 kB view details)

Uploaded Source

Built Distribution

vantage6_client-4.0.2-py3-none-any.whl (17.5 kB view details)

Uploaded Python 3

File details

Details for the file vantage6-client-4.0.2.tar.gz.

File metadata

  • Download URL: vantage6-client-4.0.2.tar.gz
  • Upload date:
  • Size: 18.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for vantage6-client-4.0.2.tar.gz
Algorithm Hash digest
SHA256 d09bf51cac22c4c9beaff5eb97ebc9a27e8f392e0aa5bd8d42b7f435c86e54df
MD5 56425530ceae11fee5ab639452f907b1
BLAKE2b-256 2078d9def69b455a2b2290dd05bb475c1a128ffbc5479dc3eda52cb7cf070f68

See more details on using hashes here.

File details

Details for the file vantage6_client-4.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for vantage6_client-4.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 f7fd5323ae1a2e468ec5b33609dae169a8c44b46341443360afcbdb25118d313
MD5 5ed48c5cd4d8493822dd281bf7d5d96e
BLAKE2b-256 54937e9e33c331593a368199f37f72f84bb2ec9047fe95cb2f0f1251798c199b

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