Empowering edge intelligence by air-ground integrated federated learning

Y Qu, C Dong, J Zheng, H Dai, F Wu, S Guo… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Empowering the edge intelligence by air-ground integrated federated learning in 6G networks

Y Qu, C Dong, J Zheng, Q Wu, Y Shen, F Wu… - arXiv preprint arXiv …, 2020 - arxiv.org
Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth
generation (6G) networks, which implies the intelligence over the whole network from the …

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 …

Joint UAV location and resource allocation for air-ground integrated federated learning

Y Jing, Y Qu, C Dong, Y Shen, Z Wei… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
With the envision of sixth generation (6G) network technology, varied artificial intelligence
(AI) services gradually develop from the network center to the edge, which makes …

UAVs as an intelligent service: Boosting edge intelligence for air-ground integrated networks

C Dong, Y Shen, Y Qu, K Wang, J Zheng, Q Wu… - IEEE …, 2021 - ieeexplore.ieee.org
The air-ground integrated network is a key component of future sixth generation (6G)
networks to support seamless and near-instant super-connectivity. There is a pressing need …

UAV-assisted communication efficient federated learning in the era of the artificial intelligence of things

WYB Lim, S Garg, Z Xiong, Y Zhang, D Niyato… - IEEE …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) based models are increasingly deployed in the Internet of Things
(IoT), paving the evolution of the IoT into the AI of things (AIoT). Currently, the predominant …

Decentralized federated learning for UAV networks: Architecture, challenges, and opportunities

Y Qu, H Dai, Y Zhuang, J Chen, C Dong, F Wu… - IEEE …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), or drones, are envisioned to support extensive
applications in next-generation wireless networks in both civil and military fields …

Federated learning for UAVs-enabled wireless networks: Use cases, challenges, and open problems

B Brik, A Ksentini, M Bouaziz - IEEE Access, 2020 - ieeexplore.ieee.org
The use of Unmanned Aerial Vehicles (UAVs) for wireless networks is rapidly growing as
key enablers of new applications, including: surveillance and monitoring, military, delivery of …

Towards ubiquitous AI in 6G with federated learning

Y Xiao, G Shi, M Krunz - arXiv preprint arXiv:2004.13563, 2020 - arxiv.org
With 5G cellular systems being actively deployed worldwide, the research community has
started to explore novel technological advances for the subsequent generation, ie, 6G. It is …

Characterization of the global bias problem in aerial federated learning

R Zhagypar, N Kouzayha, H ElSawy… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) mobility enables flexible and customized federated
learning (FL) at the network edge. However, the underlying uncertainties in the aerial …