103 citations · 227 across the 7 of their papers we have counts for
4 papers · 1 filter
Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
Yuben Qu, Haipeng Dai, Yan Zhuang +4
Unmanned aerial vehicles (UAVs), or say drones, are envisioned to support extensive applications in next-generation wireless networks in both civil and military fields. Empowering…
Air-Ground Collaborative Mobile Edge Computing: Architecture, Challenges, and Opportunities
Zhen Qin, Hai Wang, Yuben Qu +2
By pushing computation, cache, and network control to the edge, mobile edge computing (MEC) is expected to play a leading role in fifth generation (5G) and future sixth generation…
Empowering the Edge Intelligence by Air-Ground Integrated Federated Learning
Yuben Qu, Chao Dong, Jianchao Zheng +4
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…
UAVs as a Service: Boosting Edge Intelligence for Air-Ground Integrated Networks
Chao Dong, Yun Shen, Yuben Qu +3
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 to i…