This tutorial introduces a comprehensive, clinically oriented, and compliance-aware framework integrating federated learning (FL) and blockchain for secure and privacy-preserving health care analytics ...

Abstract: Current Federated Learning (FL) platforms remain limited in scope and largely rely on centralized architectures, which are inadequate for complex real-world scenarios. There is also a lack ...

In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using Federated Learning without relying on heavyweight frameworks or complex infrastructure. We build a ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

Get the latest federal technology news delivered to your inbox. Agencies across the government, including in the White House, are planning for, procuring, building, or attempting to scale impact and ...

Although it is a well-worn topic (^-^;), you are interested in AI, right? ChatGPT is overturning the concept of Googling that we have taken for granted until now, and in medicine, AI is being used to ...