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2020 – today
- 2025
[j8]Menghong Guan
, Haiyong Bao, Jing Wang, Lu Xing, Hong-Ning Dai:
PEFed: Enhancing privacy and efficiency in federated learning via removable perturbation and decentralized encryption. Inf. Fusion 122: 103187 (2025)- [j7]Zhiqiang Li, Haiyong Bao, Hao Pan, Menghong Guan, Cheng Huang, Hong-Ning Dai:
UEFL: Universal and Efficient Privacy-Preserving Federated Learning. IEEE Internet Things J. 12(10): 14333-14347 (2025) - [j6]Hao Pan, Haiyong Bao, Menghong Guan, Zhiqiang Li, Cheng Huang, Hong-Ning Dai:
DualGuard: Obfuscated Federated Learning With Two-Party Secure Robust Aggregation. IEEE Internet Things J. 12(11): 16595-16609 (2025) - [j5]Lu Xing, Haiyong Bao, Menghong Guan, Jing Wang, Qinglei Kong, Hong-Ning Dai, Cheng Huang:
Mul_STK: Efficient and privacy-preserving query with spatio-temporal-keyword multiple attributes in cloud computing. J. Syst. Archit. 167: 103490 (2025) - [j4]Haiyong Bao, Lu Xing, Honglin Wu, Menghong Guan, Na Ruan, Cheng Huang, Hong-Ning Dai:
MKAC: Efficient and Privacy-Preserving Multi- Keyword Ranked Query With Ciphertext Access Control in Cloud Environments. IEEE Trans. Cloud Comput. 13(3): 1065-1077 (2025) - [j3]Jing Wang, Haiyong Bao, Rongxing Lu, Cheng Huang, Menghong Guan, Lu Xing:
EPPQ: Efficient and Privacy-Preserving $k$NN Query Processing for Outsourced High-Dimensional Data. IEEE Trans. Serv. Comput. 18(5): 2851-2864 (2025) - [c2]Zhiqiang Li, Haiyong Bao, Menghong Guan, Hao Pan, Cheng Huang, Hong-Ning Dai:
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning. AAAI 2025: 18593-18601 - [i2]Zhiqiang Li, Haiyong Bao, Menghong Guan, Hao Pan, Cheng Huang, Hong-Ning Dai:
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning. CoRR abs/2506.13612 (2025) - 2024
- [j2]Menghong Guan, Haiyong Bao, Zhiqiang Li, Hao Pan, Cheng Huang, Hong-Ning Dai:
SAMFL: Secure Aggregation Mechanism for Federated Learning with Byzantine-robustness by functional encryption. J. Syst. Archit. 157: 103304 (2024) - [c1]Simiao Zhang, Jitao Bai, Menghong Guan, Yueling Zhang, Jun Sun, Yihao Huang, Jiaping Wang, Chengcheng Wan, Ting Su, Geguang Pu:
CFP: A Reinforcement Learning Framework for Comprehensive Fairness-Performance Trade-Off in Machine Learning. ICANN (1) 2024: 463-477 - 2023
- [j1]Menghong Guan, Subrota Kumar Mondal, Hong-Ning Dai, Haiyong Bao:
Reinforcement learning-driven deep question generation with rich semantics. Inf. Process. Manag. 60(2): 103232 (2023) - [i1]Simiao Zhang, Jitao Bai, Menghong Guan, Yihao Huang, Yueling Zhang, Jun Sun, Geguang Pu:
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework. CoRR abs/2307.11379 (2023)
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