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2020 – today
- 2024
[j4]Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan:
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. J. Comput. Sci. Technol. 39(4): 984-1004 (2024)- [j3]Yan Kang
, Yuanqin He, Jiahuan Luo, Tao Fan, Yang Liu, Qiang Yang:
Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability. IEEE Trans. Big Data 10(6): 879-890 (2024) - [j2]Tianyuan Zou, Yang Liu, Yan Kang, Wenhan Liu, Yuanqin He, Zhihao Yi, Qiang Yang, Ya-Qin Zhang:
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning. IEEE Trans. Big Data 10(6): 1016-1027 (2024) - [j1]Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang:
Vertical Federated Learning: Concepts, Advances, and Challenges. IEEE Trans. Knowl. Data Eng. 36(7): 3615-3634 (2024) - [i9]Yuanqin He, Yan Kang, Lixin Fan, Qiang Yang:
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom. CoRR abs/2404.12273 (2024) - 2023
- [i8]Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang:
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. CoRR abs/2305.00312 (2023) - [i7]Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan, Qiang Yang:
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. CoRR abs/2310.18358 (2023) - 2022
- [c1]Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. IJCAI 2022: 2334-2340 - [i6]Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang:
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. CoRR abs/2208.08934 (2022) - [i5]Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang:
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. CoRR abs/2209.03885 (2022) - [i4]Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang:
Vertical Federated Learning. CoRR abs/2211.12814 (2022) - 2021
- [i3]Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang:
Self-supervised Cross-silo Federated Neural Architecture Search. CoRR abs/2101.11896 (2021) - [i2]Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. CoRR abs/2111.08211 (2021) - [i1]Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang:
Defending Label Inference and Backdoor Attacks in Vertical Federated Learning. CoRR abs/2112.05409 (2021)
Coauthor Index
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