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 ...

And not only that: collaboration when it comes to sensitive data can be a challenge. Apheris, Röhm’s startup, aims to address this through federated computing: making data securely accessible ...