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.
The European Commission recently released the Horizon Europe Work Programmes for 2021-2022! Discover our offer for consortia below.
Federated Learning for Consortia allows your collaborative research project 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 recently released the Horizon Europe work programs for 2021-2022! The applications have opened, with submission deadlines mostly from September to November 2021. This is a great opportunity to leverage federated learning to create collaborative research projects on distributed data in a secure privacy-preserving setting. At Owkin, we are particularly interested in the calls of the Health Cluster, but we would love to support any project fostering a collaborative approach to data, using 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: