2 papers
eess.SP2026
VR-VFL: Joint Rate and Client Selection for Vehicular Federated Learning Under Imperfect CSI
Metehan Karatas, Subhrakanti Dey, Christian Rohner +1
Federated learning in vehicular edge networks faces major challenges in efficient resource allocation, largely due to high vehicle mobility and the presence of imperfect channel st…
eess.SP2024
Machine Learning for Spectrum Sharing: A Survey
Francisco R. V. Guimarães, José Mairton B. da Silva, Charles Casimiro Cavalcante +3
The 5th generation (5G) of wireless systems is being deployed with the aim to provide many sets of wireless communication services, such as low data rates for a massive amount of d…