Skip to main content

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

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-common-0.0.0b3.tar.gz (17.0 kB view details)

Uploaded Source

Built Distribution

vantage6_common-0.0.0b3-py3-none-any.whl (22.5 kB view details)

Uploaded Python 3

File details

Details for the file vantage6-common-0.0.0b3.tar.gz.

File metadata

  • Download URL: vantage6-common-0.0.0b3.tar.gz
  • Upload date:
  • Size: 17.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.7.13

File hashes

Hashes for vantage6-common-0.0.0b3.tar.gz
Algorithm Hash digest
SHA256 a414f99f0b055c62dec5cbfcb86c1c9497b9dfac7eca4536244b9a98dec9bf3f
MD5 a0c640f734e9220c720f38d65912921a
BLAKE2b-256 bce23cabae2d8b92066a1eeabd27ee4609036b7bd3167a465fa945d88bd61cf8

See more details on using hashes here.

File details

Details for the file vantage6_common-0.0.0b3-py3-none-any.whl.

File metadata

File hashes

Hashes for vantage6_common-0.0.0b3-py3-none-any.whl
Algorithm Hash digest
SHA256 4c74c4ca575a9ba2bf64edccdf5d8148dee4e5750709a47d1a3dc9822205236c
MD5 81660e64b49f8cf989c1c823c7d5d6b9
BLAKE2b-256 dfca1fc7d9f60896737cf1b07bc652fd0ce2216d78bfb74f1b714bb65876a485

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