The process was costly and complex, and it delivered suboptimal results. That all changed when they adopted federated learning.

Why Federated Learning is the Next Big Thing in Healthcare AI The use of Artificial Intelligence (AI) in healthcare holds a lot of promise. It’s already making big improvements in diagnosis, decision ...

One area of research into how to combine these separate pools is through federated learning (FL), a machine learning process where knowledge is extracted from the data where the data resides and ...

The new federated AI blueprint from T-RIZE and Flower enhances data privacy, compliance, and auditability for enterprise workflows.

Federated learning is essentially machine learning for inaccessible data—the data could be private, or the data owner may not want to lose ownership.

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

However, LR models did not show much improvement after federated learning processes. The specific process that improved the performance differed based on the ML model and how federated learning was ...

Novartis, Merck, AstraZeneca, and other pharmaceutical companies have successfully deployed a federated learning platform for drug discovery.