Public health surveillance traditionally depends on centralizing large volumes of health data, an approach that raises ethical and logistical concerns regarding patient privacy, data ownership, and ...

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.

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 ...

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The reliance on public data — mostly web data — to train AI is holding back the AI field. That’s according to Daniel Beutel, a tech entrepreneur and researcher at the University of Cambridge, who ...

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. The financial crimes compliance ...

Let’s imagine a fictional company, Global Retail Corporation, a multinational retail chain struggling with its initial approach to AI integration. They built custom generative AI applications on their ...