Algorithm Journey

How data flows in the vantage6 infrastructure

Frank Martin
Posted in Jan. 27, 2023

Data flow in vantage6

Hooray for the first community meeting

Are you joining next time?

Anja van Gestel
Posted in Nov. 17, 2022

We had our first, and successful, community meeting this morning.

vantage6 at Health-RI conference 2022

"Setting data in motion"

Anja van Gestel
Posted in Oct. 24, 2022

We were at the Health-RI symposium 2022!

Community Meetings

Aligning development efforts

Posted in Oct. 20, 2022

We would like to invite you to the first vantage6 developer community meeting on the 17th of November from 10-12 on Microsoft Teams.

vantage6 3.0 Is Released

Code name: Petronas

Arturo Moncada-Torres
Posted in May 1, 2022

Release part for vantage6 petronas

Partnership with DataSHIELD

When 1 + 1 = 3

Arturo Moncada-Torres
Posted in June 1, 2021

The federated learning landscape is evolving incredibly fast. The community is pushing its boundaries everyday, opening the chance for partnerships

vantage6 2.0 Is Released!

Code name: Harukas

Arturo Moncada-Torres
Posted in Feb. 25, 2021

We are very happy to communicate that we have officially release vantage6 version 2.0! This time, we named it after a Japanese vantage point: Harukas.

Comparing the quality of breast cancer care in Norway and the Netherlands using Vantage6

Dave Hamersma defended his thesis at Twente University

Gijs Geleijnse
Posted in Feb. 10, 2021

On January 29 2021, Dave Hamersma graduated from Twente University on a thesis where he used vantage6 to learn about quality of breast cancer care.

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

Vantage6 enables study with international data

Gijs Geleijnse
Posted in Dec. 1, 2020

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

PHT wins at the Computable Awards 2020

In the category "Zorgproject"

Arturo Moncada-Torres
Posted in Nov. 25, 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)

Designing vantage6 for MPC Using Vertically-Partitioned Data

Direct communication between nodes

Posted in Oct. 5, 2020

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

On Trusting Algorithm Containers

How to prevent data-leaks

Posted in Nov. 16, 2019

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?

Server Update

A small upgrade on our services

Posted in Nov. 7, 2019

In the past week a some updates have been performed at the server:

Different applications of vantage6

A blog post

Posted in Oct. 28, 2019

The most obvious application of VANTAGE6 is to do computations on a partitioned dataset. However there are other applications for VANTAGE6

About Secure Multi-party Computation

A blog post

Posted in July 9, 2019

An update on vantage6's secure multi-party computation functionality