Menghong Guan

According to our database, Menghong Guan authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

DualGuard: Obfuscated Federated Learning With Two-Party Secure Robust Aggregation.

Hao Pan, Haiyong Bao, Menghong Guan, Zhiqiang Li, Cheng Huang, Hong-Ning Dai

IEEE Internet Things J., June, 2025

Mul_STK: Efficient and privacy-preserving query with spatio-temporal-keyword multiple attributes in cloud computing.

Lu Xing, Haiyong Bao, Menghong Guan, Jing Wang, Qinglei Kong, Hong-Ning Dai, Cheng Huang

J. Syst. Archit., 2025

UEFL: Universal and Efficient Privacy-Preserving Federated Learning.

Zhiqiang Li, Haiyong Bao, Hao Pan, Menghong Guan, Cheng Huang, Hong-Ning Dai

IEEE Internet Things J., 2025

PEFed: Enhancing privacy and efficiency in federated learning via removable perturbation and decentralized encryption.

Menghong Guan, Haiyong Bao, Jing Wang, Lu Xing, Hong-Ning Dai

Inf. Fusion, 2025

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning.

Zhiqiang Li, Haiyong Bao, Menghong Guan, Hao Pan, Cheng Huang, Hong-Ning Dai

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

SAMFL: Secure Aggregation Mechanism for Federated Learning with Byzantine-robustness by functional encryption.

Menghong Guan, Haiyong Bao, Zhiqiang Li, Hao Pan, Cheng Huang, Hong-Ning Dai

J. Syst. Archit., 2024

CFP: A Reinforcement Learning Framework for Comprehensive Fairness-Performance Trade-Off in Machine Learning.

Simiao Zhang, Jitao Bai, Menghong Guan, Yueling Zhang, Jun Sun, Yihao Huang, Jiaping Wang, Chengcheng Wan, Ting Su, Geguang Pu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Reinforcement learning-driven deep question generation with rich semantics.

Menghong Guan, Subrota Kumar Mondal, Hong-Ning Dai, Haiyong Bao

Inf. Process. Manag., 2023

Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework.

Simiao Zhang, Jitao Bai, Menghong Guan, Yihao Huang, Yueling Zhang, Jun Sun, Geguang Pu

CoRR, 2023