Welcome

What is vantage6? 🚆

Vantage6 stands for privacy preserving infrastructure for secure insight exchange.

The project is inspired by the (PHT) concept. In this analogy vantage6 is the tracks and stations. Compatible algorithms are the trains, and computation tasks are the journey.

vantage6 is here for:

• delivering algorithms to data stations and collecting their results

• managing users, organizations, collaborations, computation tasks and their results

• providing control (security) at the data-stations to their owners

vantage6 is not (yet):

• formatting the data at the data station

• aligning data across the data stations

• a finished/polished product

vantage6 is designed with three fundamental functional aspects of Federated learning.

1. Autonomy. All involved parties should remain independent and autonomous.

2. Heterogeneity. Parties should be allowed to have differences in hardware and operating systems.

3. Flexibility. Related to the latter, a federated learning infrastructure should not limit the use of relevant data.

Resources 🏭

Documentation

• -> this documentation

• -> unfinished technical documentation

• -> general vantage6 website

Source code

• -> contains all components (and the python-client).

• -> contains all features, bugfixes and feature request we are working on. To submit one yourself, you can create a .

Community

• -> discussion platform, ask anything here

• -> for if you prefer a quick chat with the developers

🔍 Contents

This documentation space is intended for users of the vantage6 solution. You will find information on how to setup your own federated learning network, and how to maintain and interact with it.

Here you will not find:

• in depth technical documentation

• background on federated learning

🤝 Community

Vantage6 is completely open source under the .

If you want to join, find us on our channel.