Yanghe Pan

According to our database, Yanghe Pan authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Privacy-Enhanced and Efficient Federated Knowledge Transfer Framework in IoT.

Yanghe Pan, Zhou Su, Yuntao Wang, Ruidong Li, Yuan Wu

IEEE Internet Things J., December, 2024

Social-Aware Clustered Federated Learning With Customized Privacy Preservation.

Yuntao Wang, Zhou Su, Yanghe Pan, Tom H. Luan, Ruidong Li, Shui Yu

IEEE/ACM Trans. Netw., October, 2024

Privacy-Preserving Heterogeneous Personalized Federated Learning With Knowledge.

Yanghe Pan, Zhou Su, Jianbing Ni, Yuntao Wang, Jinhao Zhou

IEEE Trans. Netw. Sci. Eng., 2024

Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends.

Yuntao Wang, Yanghe Pan, Quan Zhao, Yi Deng, Zhou Su, Linkang Du, Tom H. Luan

CoRR, 2024

Toward Privacy-Aware Efficient Federated Graph Attention Network in Smart Cloud.

Jinhao Zhou, Zhou Su, Yuntao Wang, Yanghe Pan, Qianqian Pan, Lizheng Liu, Jun Wu

Proceedings of the 9th IEEE International Conference on Smart Cloud, 2024

TRACEGADGET: Detecting and Tracing Network Level Attack Through Federal Provenance Graph.

Han Liu, Yuntao Wang, Zhou Su, Zixuan Wang, Yanghe Pan, Ruidong Li

Proceedings of the IEEE International Conference on Communications, 2024

2023

A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions.

Yuntao Wang, Yanghe Pan, Miao Yan, Zhou Su, Tom H. Luan

IEEE Open J. Comput. Soc., 2023

Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning.

Yuntao Wang, Zhou Su, Yanghe Pan, Abderrahim Benslimane, Yiliang Liu, Tom H. Luan, Ruidong Li

Proceedings of the IEEE International Conference on Communications, 2023

Privacy-Preserving Trainer Recruitment in Model Marketplace of Federated Learning.

Yanghe Pan, Zhou Su, Yuntao Wang

Proceedings of the IEEE Intl Conf on Dependable, 2023

2022

Personalized Privacy-Preserving Federated Learning: Optimized Trade-off Between Utility and Privacy.

Jinhao Zhou, Zhou Su, Jianbing Ni, Yuntao Wang, Yanghe Pan, Rui Xing

Proceedings of the IEEE Global Communications Conference, 2022

2021

FL-PATE: Differentially Private Federated Learning with Knowledge Transfer.

Yanghe Pan, Jianbing Ni, Zhou Su

Proceedings of the IEEE Global Communications Conference, 2021