Cooperative Channel Sensing, Relaying and Computing in UAV and Vehicular Networks
E Krijestorac - 2024 - escholarship.org
Mobile devices generate an enormous amount of data traffic to satisfy their computing and
communications needs. To meet these demands, mobile network operators frequently need …
communications needs. To meet these demands, mobile network operators frequently need …
Enhanced decentralized federated learning based on consensus in connected vehicles
X Liu, Z Dong, Z Xu, S Liu, J Tian - arXiv preprint arXiv:2209.10722, 2022 - arxiv.org
Advanced researches on connected vehicles have recently targeted to the integration of
vehicle-to-everything (V2X) networks with Machine Learning (ML) tools and distributed …
vehicle-to-everything (V2X) networks with Machine Learning (ML) tools and distributed …
UAVs and Blockchain Synergy: Enabling Secure Reputation-based Federated Learning in Smart Cities
Unmanned aerial vehicles (UAVs) can be used as drones' edge Intelligence to assist with
data collection, training models, and communication over wireless networks. UAV use for …
data collection, training models, and communication over wireless networks. UAV use for …
Empowering edge intelligence by air-ground integrated federated learning
Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth
generation (6G) networks, which implies intelligence over the whole network from the core to …
generation (6G) networks, which implies intelligence over the whole network from the core to …
AdaptNet: Rethinking Sensing and Communication for a Seamless Internet of Drones Experience
A Hazarika, M Rahmati - arXiv preprint arXiv:2405.07318, 2024 - arxiv.org
In the evolving era of Unmanned Aerial Vehicles (UAVs), the emphasis has moved from
mere data collection to strategically obtaining timely and relevant data within the Internet of …
mere data collection to strategically obtaining timely and relevant data within the Internet of …
Federated learning assisted multi-UAV networks
H Zhang, L Hanzo - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been recognized as a promising technology to be
used in a wide range of civilian, public and military applications. However, given their limited …
used in a wide range of civilian, public and military applications. However, given their limited …
Multi-UAV-assisted federated learning for energy-aware distributed edge training
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has largely
extended the border and capacity of artificial intelligence of things (AIoT) by providing a key …
extended the border and capacity of artificial intelligence of things (AIoT) by providing a key …
Distributed offloading for multi-uav swarms in mec-assisted 5G heterogeneous networks
M Ma, Z Wang - Drones, 2023 - mdpi.com
Mobile edge computing (MEC) is a novel paradigm that offers numerous possibilities for
Internet of Things (IoT) applications. In typical use cases, unmanned aerial vehicles (UAVs) …
Internet of Things (IoT) applications. In typical use cases, unmanned aerial vehicles (UAVs) …
Communication-efficient distributed learning in V2X networks: Parameter selection and quantization
In recent years, automotive systems have been integrating Federated Learning (FL) tools to
provide enhanced driving functionalities, exploiting sensor data at connected vehicles to …
provide enhanced driving functionalities, exploiting sensor data at connected vehicles to …
Exploiting UAV for air–ground integrated federated learning: A joint UAV location and resource optimization approach
Y Jing, Y Qu, C Dong, W Ren, Y Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, many exciting usage scenarios and groundbreaking technologies for sixth
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …