Abstract: In the heterogeneous vehicular networks (HetVNets), the roadside units (RUs) can exploit the massive amounts of valuable data collected by vehicles to complete federated learning tasks.

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

Better automation starts with better account architecture. Learn how to strengthen signals, reduce overlap, and improve ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Ancestry employs AI and machine learning to expedite digitization of family records, boosting user tools and expanding ...

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Abstract: In IoT-enabled airport ecosystems, the exponential growth of air traffic and the rapid development of smart terminals have intensified gate allocation challenges. Real-time data streams from ...

As workers remain concerned about AI replacing jobs, employers are simultaneously creating remote jobs for workers who know ...