Federated learning represents a paradigm shift in machine learning by enabling the collaborative training of models across multiple distributed nodes without requiring centralised data collection.

The next generation of financial crime prevention will be built on smarter architectures, not bigger data pools.

Not only can federated learning reduce costs, but it can also increase the effectiveness of anti-money-laundering, say Gary Shiffman, Shelly Liposky and Rick Hamilton. Financial institutions can help ...

Ed Hicks, business development manager for federal and artificial intelligence at Dell Technologies (NYSE: DELL), said government agencies that intend to implement AI at the edge should consider ...

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 ...

Researchers have successfully developed the technology that can accurately segment different body organs by effectively learning medical image data used for different purposes in different hospitals, ...