Social-Aware Clustered Federated Learning with Customized Privacy Preservation

no code implementations • 25 Dec 2022 • Yuntao Wang, Zhou Su, Yanghe Pan, Tom H Luan, Ruidong Li, Shui Yu

In this paper, we strike the balance of data privacy and efficiency by utilizing the pervasive social connections between users.

Federated Learning

Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach

no code implementations • 29 Oct 2022 • Yuntao Wang, Zhou Su, Abderrahim Benslimane, Qichao Xu, Minghui Dai, Ruidong Li

The proliferation of unmanned aerial vehicles (UAVs) opens up new opportunities for on-demand service provisioning anywhere and anytime, but also exposes UAVs to a variety of cyber threats.

Computational Efficiency Fairness +1

Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions

no code implementations • 24 Mar 2022 • Yuntao Wang, Zhou Su, Ning Zhang, Ruidong Li

Unmanned aerial vehicles (UAVs) can help facilitate cost-effective and flexible service provisioning in future smart cities.

energy trading Privacy Preserving +1