American Banker

'Federated learning' can supercharge banks' AML detection

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 ...
techtimes

The Future Of Federated Learning For User Privacy And Personalization

Digital personalization is demanded by customers in 2024, and going the extra mile for effective personalization is a key differentiating factor. In 2024, the demand for digital personalization ...
EurekAlert!

Enhancing poisoning attack mitigation in federated learning through perturbation-defense complementarity on historical gradients

Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...
GovCon Wire

Dell Technologies’ Ed Hicks: Federated Learning Could Help Agencies Advance AI at the Edge

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 ...
EurekAlert!

A comprehensive survey of federated transfer learning: Challenges, methods and applications

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...