vantage6

priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange

The need

Collaborative 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.

The solution

Federated Learning

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.

The tool

vantage6

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

Philosophy

vantage6 is built on top of three pillars

device_hub
Infrastructure
perm_data_setting
Algorithms
dns
Data



...using three basic principles

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Autonomy
Each party is in control of their own data.
devices
Heterogeneity
Parties are allowed to have differences in hardware and operating systems.
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Flexibility
Support for horizontally- and vertically-partitioned data.

Latest Blog Posts

Posts of interest to the community

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Article Published on Oral Cavity Cancer Survival in Taiwan and the Netherlands

Dec. 1, 2020

Vantage6 was used in study on oral cavity cancer in Taiwan and the Netherlands.

Continue reading
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PHT wins at the Computable Awards 2020

We are very happy to share that the Personal Health Train was the winner of the Computable Awards 2020 in the category "Zorgproject" (care project)

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Designing vantage6 for MPC Using Vertically-Partitioned Data

In Federated Learning, there are two common ways in which data can be partitioned across parties...

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On Trusting Algorithm Containers

How can we trust a Docker container that has been sent to us from a remote party that performs a computation on our privacy sensitive data?

Our Team

Meet the core people behind vantage6

arturo
Arturo Moncada-Torres
Clinical Data Scientist

This is the way

melle
Melle Sieswerda
Clinical Data Scientist

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hasan
Hasan Alradhi
Scientific Programmer

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Djura Smits
Research Engineer

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johan
Johan Van Soest
Clinical Data Scientist

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gijs
Gijs Geleijnse
Sr. Clinical Data Scientist

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Frank Martin
Software Engineer

Let's go!

Our Collaborators