| PPT: A privacy-preserving global model training protocol for federated learning in P2P networks Q Chen, Z Wang, W Zhang, X Lin Computers & Security 124, 102966, 2023 | 25 | 2023 |
| FedDual: Pair-wise gossip helps federated learning in large decentralized networks Q Chen, Z Wang, H Wang, X Lin IEEE Transactions on Information Forensics and Security 18, 335-350, 2022 | 21 | 2022 |
| CFL: Cluster federated learning in large-scale peer-to-peer networks Q Chen, Z Wang, Y Zhou, J Chen, D Xiao, X Lin International Conference on Information Security, 464-472, 2022 | 18 | 2022 |
| Dap-FL: Federated learning flourishes by adaptive tuning and secure aggregation Q Chen, Z Wang, J Chen, H Yan, X Lin IEEE Transactions on Parallel and Distributed Systems 34 (6), 1923-1941, 2023 | 14 | 2023 |
| Recess vaccine for federated learning: Proactive defense against model poisoning attacks H Yan, W Zhang, Q Chen, X Li, W Sun, H Li, X Lin Advances in Neural Information Processing Systems 36, 8702-8713, 2023 | 10 | 2023 |
| Accountable and verifiable secure aggregation for federated learning in IoT networks X Yang, Y Zhao, Q Chen, Y Yu, X Du, M Guizani IEEE Network 36 (5), 173-179, 2022 | 9 | 2022 |
| PAGE: Equilibrate personalization and generalization in federated learning Q Chen, Z Wang, J Hu, H Yan, J Zhou, X Lin Proceedings of the ACM Web Conference 2024, 2955-2964, 2024 | 4 | 2024 |
| QP-LDP for better global model performance in federated learning Q Chen, Z Chai, Z Wang, H Yan, X Lin, J Zhou IEEE Internet of Things Journal, 2024 | 4 | 2024 |
| Lldp: A layer-wise local differential privacy in federated learning Q Chen, H Wang, Z Wang, J Chen, H Yan, X Lin 2022 IEEE International Conference on Trust, Security and Privacy in …, 2022 | 4 | 2022 |
| CODER: Protecting privacy in image retrieval with differential privacy H Yan, X Li, W Zhang, Q Chen, B Wang, H Li, X Lin IEEE Transactions on Dependable and Secure Computing, 2024 | 3 | 2024 |
| DeFedGCN: Privacy-Preserving Decentralized Federated GCN for Recommender System Q Chen, Z Wang, M Yan, H Yan, X Lin, J Zhou IEEE Transactions on Services Computing, 2025 | | 2025 |
| A Proactive Defense Against Model Poisoning Attacks in Federated Learning H Yan, C Zheng, Q Chen, X Li, B Wang, H Li, X Lin IEEE Transactions on Dependable and Secure Computing, 2025 | | 2025 |
| SG-FCB: A Stackelberg Game-Driven Fair Committee-Based Blockchain Consensus Protocol N Yang, C Tang, Z Xiong, Q Chen, J Kang, D He 2024 IEEE 44th International Conference on Distributed Computing Systems …, 2024 | | 2024 |
| Enhancing Vehicular Edge Intelligence through Distributed Collaborative Generative AI Inference G Xie, R Xie, X Zhang, J Nie, Q Tang, Q Chen, D Niyato ICC 2024-IEEE International Conference on Communications, 4560-4565, 2024 | | 2024 |
| 基于生成对抗网络的联邦学习中投毒攻击检测方案 陈谦， 柴政， 王子龙， 陈嘉伟 计算机应用 43 (12), 3790, 2023 | | 2023 |
| Poisoning attack detection scheme based on generative adversarial network for federated learning Q CHEN, Z CHAI, Z WANG, J CHEN Journal of Computer Applications 43 (12), 3790, 2023 | | 2023 |
| QP-LDP for better global model performance in federated learning Q Chen, Z Chai, Z Wang, J Chen, H Yan, X Lin 2022 18th International Conference on Mobility, Sensing and Networking (MSN …, 2022 | | 2022 |
| An Upper Bound of the Set Size of Perfect Sequences with Optimal Cross-correlation Z Wang, Q Chen, G Gong 2022 IEEE International Symposium on Information Theory (ISIT), 532-535, 2022 | | 2022 |
Xiaodong LinProfessor, IEEE Fellow, University of Guelph, CanadaVerified email at uoguelph.ca
