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.
In Federated Learning, there are two common ways in which data can be partitioned across parties...
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?
In the past week a some updates have been performed at the server:
The most obvious application of VANTAGE6 is to do computations on a partitioned dataset. However there are other applications for VANTAGE6
An update on vantage6's secure multi-party computation functionality