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2020 – today
- 2024
[j3]Yanghe Pan, Zhou Su, Jianbing Ni, Yuntao Wang, Jinhao Zhou:
Privacy-Preserving Heterogeneous Personalized Federated Learning With Knowledge. IEEE Trans. Netw. Sci. Eng. 11(6): 5969-5982 (2024)- [j2]Yuntao Wang
, Zhou Su, Yanghe Pan, Tom H. Luan, Ruidong Li, Shui Yu:
Social-Aware Clustered Federated Learning With Customized Privacy Preservation. IEEE/ACM Trans. Netw. 32(5): 3654-3668 (2024) - [c6]Han Liu, Yuntao Wang, Zhou Su, Zixuan Wang, Yanghe Pan, Ruidong Li:
TRACEGADGET: Detecting and Tracing Network Level Attack Through Federal Provenance Graph. ICC 2024: 2713-2718 - [c5]Jinhao Zhou, Zhou Su, Yuntao Wang, Yanghe Pan, Qianqian Pan, Lizheng Liu, Jun Wu:
Toward Privacy-Aware Efficient Federated Graph Attention Network in Smart Cloud. SmartCloud 2024: 19-24 - [i4]Yuntao Wang, Yanghe Pan, Quan Zhao, Yi Deng, Zhou Su, Linkang Du, Tom H. Luan:
Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends. CoRR abs/2409.14457 (2024) - 2023
- [j1]Yuntao Wang, Yanghe Pan, Miao Yan, Zhou Su, Tom H. Luan:
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions. IEEE Open J. Comput. Soc. 4: 280-302 (2023) - [c4]Yanghe Pan, Zhou Su, Yuntao Wang:
Privacy-Preserving Trainer Recruitment in Model Marketplace of Federated Learning. DASC/PiCom/CBDCom/CyberSciTech 2023: 362-366 - [c3]Yuntao Wang, Zhou Su, Yanghe Pan, Abderrahim Benslimane, Yiliang Liu, Tom H. Luan, Ruidong Li:
Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning. ICC 2023: 6307-6311 - [i3]Yuntao Wang, Zhou Su, Yanghe Pan, Abderrahim Benslimane, Yiliang Liu, Tom H. Luan, Ruidong Li:
Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning. CoRR abs/2301.08474 (2023) - [i2]Yuntao Wang, Yanghe Pan, Miao Yan, Zhou Su, Tom H. Luan:
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions. CoRR abs/2305.18339 (2023) - 2022
- [c2]Jinhao Zhou, Zhou Su, Jianbing Ni, Yuntao Wang, Yanghe Pan, Rui Xing:
Personalized Privacy-Preserving Federated Learning: Optimized Trade-off Between Utility and Privacy. GLOBECOM 2022: 4872-4877 - [i1]Yuntao Wang, Zhou Su, Yanghe Pan, Tom H. Luan, Ruidong Li, Shui Yu:
Social-Aware Clustered Federated Learning with Customized Privacy Preservation. CoRR abs/2212.13992 (2022) - 2021
- [c1]Yanghe Pan, Jianbing Ni, Zhou Su:
FL-PATE: Differentially Private Federated Learning with Knowledge Transfer. GLOBECOM 2021: 1-6
Coauthor Index
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