Abstract: Machine learning is a powerful technology for extracting information from data of diverse nature and origin. As its deployment increasingly depends on data from multiple entities, ensuring ...

Abstract: Dynamic spectrum sharing has emerged as a promising solution to address the spectrum scarcity challenge. Currently, the FCC has designated several Spectrum Access Systems (SAS) ...

NEW YORK — When POLITICO approached Rep. Elise Stefanik this month with hate-filled messages from the same Young Republicans she backed and bankrolled for years, her condemnation was swift and ...

We’re the Dixon Sisters—professional dancers, gymnasts, and more—here to share our funniest, most uplifting moments with you. For a dose of positivity, check out Good Vibes Only and let us brighten ...

“When you insist that white is black whilst everyone can see that it’s white, that’s a matter for psychiatry,” Tazo Datunashvili, a member of Lelo–Strong Georgia, stated. According to him, Georgian ...

Abstract: Network monitoring is essential for IT infrastructure health, enabling proactive threat detection, bandwidth optimization, and data analysis. Federated Learning facilitates collaboration and ...

Seven candidates have filed to run in the special election for Spartanburg County District 3, according to John Baucom, director of Spartanburg County Voter Registration and Elections. The seat opened ...

Abstract: The rapid advancement of diffusion models has increased the need for customized image generation. However, current customization methods face several limitations: 1) typically accept either ...

Abstract: The Internet of Things (IoT) and edge computing have enabled the utilization of IoT for environmental monitoring and energy optimization. The Internet of Vehicles (IoV), with its extensive ...

Abstract: Secure multi-party computation (MPC) enables (joint) computations on sensitive data while maintaining privacy. In real-world scenarios, asymmetric trust assumptions are often most realistic, ...