Why is federated learning useful in healthcare?

Federated learning enables participants to train local models cooperatively on local data, without disclosing sensitive data to a central cloud server. It allows continuous learning on decentralized devices, while ensuring no end-user data leaves the device.
Our nexRouter smart gateway is a plug-and-play solution that enables local data to contribute to federated learning platforms, herewith allowing AI to effectively improve healthcare, without any risk of leaks of sensitive medical information such as images, EHRs, and genomics data.