Researchers have developed two federated learning algorithms, Bi-Models Training and Multi-Models Training, that remove a ...

A new Cluster Computing study using stroke prediction shows that federated learning in healthcare will fail unless it ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to achieve artificial general intelligence, engineers have centralized AI ...

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 ...

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a fundamental challenge: how to learn from data without compromising privacy ...

How federated learning lets sports clubs and betting operators train powerful prediction models together without ever exposing private data.