Journals
Journals
Li, Kai and Zheng, Jingjing and Ni, Wei and Huang, Hailong and Liò, Pietro and Dressler, Falko and Akan, Ozgur B, “Biasing Federated Learning With a New Adversarial Graph Attention Network,” in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2024.3499371. [paper] [code]
K. Li, X. Yuan, J. Zheng, W. Ni, F. Dressler and A. Jamalipour, “Leverage Variational Graph Representation for Model Poisoning on Federated Learning,” in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2024.3394252. [paper] [code]
K. Li, J. Zheng, X. Yuan, W. Ni, O. B. Akan and H. V. Poor, "Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach," in IEEE Transactions on Information Forensics and Security, vol. 19, pp. 3465-3480, 2024, doi: 10.1109/TIFS.2024.3362147. [paper] [code]
J. Zheng, K. Li, N. Mhaisen, W. Ni, E. Tovar and M. Guizani, "Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT," in IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21099-21110, 1 Nov.1, 2022, doi: 10.1109/JIOT.2022.3176739. [paper][code]
K. Li, W. Ni, J. Zheng, E. Tovar and M. Guizani, "Confidentiality and Timeliness of Data Dissemination in Platoon-based Vehicular Cyber-Physical Systems," in IEEE Network, vol. 35, no. 4, pp. 248-254, July/August 2021, doi: 10.1109/MNET.011.2000538. [paper]
Li, Kai, Ning Lu, Jingjing Zheng, Pei Zhang, Wei Ni, and Eduardo Tovar. "Bloothair: A secure aerial relay system using bluetooth connected autonomous drones." ACM Transactions on Cyber-Physical Systems 5, no. 3 (2021): 1-22. [paper]
Zheng, J., Li, K., Yuan, X., Ni, W., & Tovar, E. (2024, May). Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping. In Companion Proceedings of the ACM on Web Conference 2024 (WWW ’24) (pp. 714-717) [paper][code]
K. Li, X. Yuan, J. Zheng, W. Ni and M. Guizani, "Exploring Adversarial Graph Autoencoders to Manipulate Federated Learning in The Internet of Things," 2023 International Wireless Communications and Mobile Computing (IWCMC), Marrakesh, Morocco, 2023, pp. 898-903, doi: 10.1109/IWCMC58020.2023.10183217. [paper] [code]
J. Zheng, K. Li, N. Mhaisen, W. Ni, E. Tovar and M. Guizani, "Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach," 2023 IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, 2023, pp. 1-6, doi: 10.1109/WCNC55385.2023.10118940. [paper] [code]
K. Li, N. Lu, J. Zheng, P. Zhang, W. Ni and E. Tovar, "A Practical Secret Key Management for Multihop Drone Relay Systems based on Bluetooth Low Energy," 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Rome, Italy, 2021, pp. 1-2, doi: 10.1109/SECON52354.2021.9491599. [paper]
J. Zheng, K. Li, E. Tovar and M. Guizani, "Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing," 2021 International Wireless Communications and Mobile Computing (IWCMC), Harbin City, China, 2021, pp. 1942-1947, doi: 10.1109/IWCMC51323.2021.9498853. [paper] [code]
Zheng, Jingjing, Zhihang Shen, Huaien Gao, Bianna Chen, Weida Zheng, and Xiaoming Xiong. "An Improved SoC Test Scheduling Method Based on Simulated Annealing Algorithm." In Journal of Physics: Conference Series, vol. 806, no. 1, p. 012011. IOP Publishing, 2017. [paper]