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 ...

As these platforms mature, we can expect to see increasingly sophisticated applications in fields such as healthcare, finance ...

Data constantly changes. For instance, the name of the current German Chancellor can change faster than expected. Machine ...

In this fast-growing AI landscape, computer science researcher Babita Kumari‘s groundbreaking study illuminates how ...

Conventional fraud detection methods have a hard time keeping up with increasingly sophisticated criminal tactics. Existing ...

Federated learning trains AI models on diverse data sources while maintaining data security and privacy. It enables ...

With financial fraud becoming more advanced, banks are adopting innovative technologies to strengthen their defenses. In his research, Sudheer Chennuri, an expe ...