103 citations · 122 across the 4 of their papers we have counts for
4 papers
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…
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…
Providing Probabilistic Robustness Guarantee for Crowdsensing
Yuben Qu, Shaojie Tang, Chao Dong +3
Due to its flexible and pervasive sensing ability, crowdsensing has been extensively studied recently in research communities. However, the fundamental issue of how to meet the req…