Federated Learning is a decentralised and privacy-friendly form of machine learning. This means that there is no need for a central database to hold all of the sensitive data, so these data cannot be ...

Federated learning is emerging as a game ... Create teams that bring together data scientists, security experts, and domain specialists. These cross-functional groups should work together to ...

Hejka believes Apheris could become a critical component in the federated data networks that are starting ... the company hire senior talent with life science backgrounds, also on the commercial ...

The company has grown rapidly to around 100 staff, including AI data scientists, federated learning researchers, privacy and traceability developers, infrastructure engineers, biological and ...