Sign in

Vantage6

An open-source platform for supporting the development of federated learning projects

7
contributors

Cite this software

What Vantage6 can do for you

  • Provides infrastructure for running analyses in a federated setting
  • Enables parties to set up trusted collaborations to allow federated analyses
  • Enables developers to create their own algorithms for privacy-preserving analysis

Answering many of the questions in health care often requires incorporating data that are located at different sources. Typically, data from different parties are analyzed by centralizing them. That is, data are brought to where the algorithms are. Unfortunately, this raises heavy concerns regarding the privacy and security of sensitive patient data.

Federated learning has emerged as a technological solution to address these concerns. In this novel paradigm, algorithms are brought to where the data are. This way, we can maximize the potential of multiple datasets while minimizing data leaks and privacy risks.

This led us to create vantage6, our open-source platform for supporting the development of federated learning projects.

Additional repositories:

Keywords
Programming languages
  • Python 95%
  • HTML 3%
  • Makefile 1%
  • Other 1%
License
  • Apache-2.0
</>Source code

Participating organisations

IKN
Maastricht University
Netherlands eScience Center

Contributors

AvG
Anja van Gestel
IKNL
AM
Arturo Moncada-Torres
IKNL
DS
Djura Smits
Netherlands eScience Center
FM
Frank Martin
IKNL
GG
Gijs Gelijnse
IKNL
JvS
Johan van Soest
Maastricht University, Maastro
MS
Melle Sieswerda
IKNL

Related projects

CARRIER

Coronary artery disease: risk estimations and interventions for prevention and Early detection –...

Updated 2 weeks ago
Running