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-3.0.0b3.tar.gz (14.9 kB view details)

Uploaded Source

Built Distribution

vantage6_common-3.0.0b3-py3-none-any.whl (19.8 kB view details)

Uploaded Python 3

File details

Details for the file vantage6-common-3.0.0b3.tar.gz.

File metadata

  • Download URL: vantage6-common-3.0.0b3.tar.gz
  • Upload date:
  • Size: 14.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for vantage6-common-3.0.0b3.tar.gz
Algorithm Hash digest
SHA256 8be0c129d539b8f5020d082975b763a8ac7265c81a75b909812f9dc5d4e07919
MD5 0fec30a1382991389fdb00bcf47e88f8
BLAKE2b-256 2371c19bf31e5a39f875ee2e9c8104175158cb18e9bafab8e494410adb865e5f

See more details on using hashes here.

File details

Details for the file vantage6_common-3.0.0b3-py3-none-any.whl.

File metadata

  • Download URL: vantage6_common-3.0.0b3-py3-none-any.whl
  • Upload date:
  • Size: 19.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for vantage6_common-3.0.0b3-py3-none-any.whl
Algorithm Hash digest
SHA256 ceec9375cdebc6ffd31e0c357e5c92fccbeb367a27dea99632522e4b29f0db93
MD5 85fe5df7e34c852c71d83af7fb9f95c1
BLAKE2b-256 850aa3ff7e74a2abb94f4519106c480a54af1531b7aed63b5c079ec638a0c056

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