FedMed

This is privacy-aware federated computing library to let clients perform statistical analysis without looking at raw data. Process data fragments scattered across multiple servers, each with its own privacy policy. Merge these remote data with local (or simulated) sources.

Author: Emmanouil (Manios) Krasanakis

Contact: maniospas@hotmail.com

License: Apache 2

Repository: https://github.com/maniospas/FedMed

This work has been funded by the H2020 project “REBECCA: REsearch on BrEast Cancer induced chronic conditions supported by Causal Analysis of multi-source data” under Grant Agreement no. 965231 (https://rebeccaproject.eu/).