Abstract: Federated learning (FL) is a promising machine learning approach for Internet of Things (IoT), but it has to address network congestion problems when the population of IoT devices grows.
Tasmania wants experience, Carlton is betting on untapped talent, and Essendon wants to keep its search within the family. It ...
Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
Background Difference-in-differences is a method commonly used in population health research. It is based on assumptions that ...
The written description and enablement analyses are context-dependent; claim type may affect the written description ...
Nanotechnology has quietly progressed through three distinct generations, and the third is now reshaping how deep-tech R&D itself must be organized.
Abstract: With the rapid development of mobile networks and widespread use of mobile devices, there is an increasing focus on assigning location-based tasks to mobile users in the context of Mobile ...
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