Abstract: In modern industrial applications, accurate fault diagnosis is critical for ensuring machinery reliability, yet traditional methods struggle with the complexity and interdependencies of ...

Abstract: Federated Learning (FL) has emerged as a promising framework to address data privacy concerns associated with mobile devices, in contrast to conventional Machine Learning (ML). However, ...

Kenya’s government is drawing up plans to sell data it collects through public platforms, and the model it appears to be building toward has a long-running precedent in the United States, where states ...