8 citations · 22 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
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…
Computing Functions Over-the-Air Using Digital Modulations
Saeed Razavikia, Jose Mairton Barros da Silva, Carlo Fischione
Over-the-air computation (AirComp) is a known technique in which wireless devices transmit values by analog amplitude modulation so that a function of these values is computed over…
Simultaneous Wireless Information and Power Transfer for Federated Learning
José Mairton B. da Silva, Konstantinos Ntougias, Ioannis Krikidis +2
In the Internet of Things, learning is one of most prominent tasks. In this paper, we consider an Internet of Things scenario where federated learning is used with simultaneous tra…
Wireless for Machine Learning
Henrik Hellström, José Mairton B. da Silva, Mohammad Mohammadi Amiri +4
As data generation increasingly takes place on devices without a wired connection, machine learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have…