Federated Learning (Owkin)
Federated Learning is a technology developed by Owkin that through deployment of our Federated Learning platform our users will be able build machine learning models using our data collected by the data acquisition module without compromising our participants privacy as the users will not have direct access to sensitive and protected health information (PHI) such as speech. This approach empowers innovation and discovery without any sacrifices or compromises to our participants privacy. Any additional hub of data can be easily included with the raw sensitive data protected and limiting the people who require raw access but not limiting discovery further building on the principles of the Health Insurance Portability and Accountability Act (HIPAA).
Want to learn more?