Federated Learning for Consortia
Build collaborative research projects in a privacy-preserving way with federated learning
A breakthrough technology to set up secure and efficient consortia: data is never shared between partners, only the encrypted model weights travel between the data centers
Federated Learning for Consortia allows your consortium to:
Protect data privacy
Accelerate consortium building
Free up resources from data pooling & management work packages to focus on what really matters: your scientific question.
Trusted by large-scale consortia
Our federated learning software Owkin Connect is the ideal tool to learn from distributed datasets among consortium partners. It is already involved in many collaborative research projects centered around medical research.
The European Commission will soon release the work programs for Horizon Europe, its new ambitious Research & Innovation funding program for 2021-2027. We welcome the opportunity to collaborate with your institution on Horizon Europe proposals and to examine research topics that may be served by federated learning.
Working with Owkin
& adapting to your consortium needs
Owkin can support your consortium in one of two capacities, based on your research topic and the needs of your project: