Items where Author is "Yu, Zhengxin"

Journal Article

Chen, Zheyi and Liang, Jie and Yu, Zhengxin and Cheng, Hongju and Min, Geyong and Li, Jie (2024) Resilient Collaborative Caching for Multi-Edge Systems With Robust Federated Deep Learning. IEEE/ACM Transactions on Networking. pp. 1-16. ISSN 1063-6692

Miao, Wang and Min, Geyong and Yu, Zhengxin and Zhang, Xu (2024) Performance Analytical Modeling of Mobile Edge Computing for Mobile Vehicular Applications : A Worst-Case Perspective. IEEE Transactions on Mobile Computing, 23 (9). pp. 8951-8964. ISSN 1536-1233

Chen, Zheyi and Zhang, Junjie and Huang, Zhiqin and Wang, Pengfei and Yu, Zhengxin and Miao, Wang (2024) Computation offloading in blockchain-enabled MCS systems : A scalable deep reinforcement learning approach. Future Generation Computer Systems, 153. pp. 301-311. ISSN 0167-739X

Lu, Yang and Yu, Zhengxin and Suri, Neeraj (2023) Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. ACM Transactions on Privacy and Security, 26 (3): 33. pp. 1-39. ISSN 2471-2574

Jiang, Xin and Yu, Zhengxin and Hai, Chao and Liu, Hongbo and Wu, Xindong and Ward, Tomas (2023) DNformer : Temporal Link Prediction with Transfer Learning in Dynamic Networks. ACM Transactions on Knowledge Discovery from Data, 17 (3): 43. 43:1-43:21. ISSN 1556-4681

Chen, Zheyi and Yu, Zhengxin (2023) Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning. IEEE Communications Magazine, 61 (6): 6. pp. 118-123. ISSN 0163-6804

Lu, Yang and Yu, Zhengxin and Suri, Neeraj (2022) Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. arXiv, abs/22. ISSN 2331-8422

Hackett, William and Trawicki, Stefan and Yu, Zhengxin and Suri, Neeraj and Garraghan, Peter (2022) PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models. arXiv, abs/22. ISSN 2331-8422

Hackett, William and Trawicki, Stefan and Yu, Zhengxin and Suri, Neeraj and Garraghan, Peter (2022) Pinch : An Adversarial Extraction Attack Framework for Deep Learning Models. arXiv. ISSN 2331-8422

Yu, Zhengxin and Hu, Jia and Min, Geyong and Zhao, Zhiwei and Miao, Wang and Hossain, M. Shamim (2021) Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning. IEEE Transactions on Intelligent Transportation Systems, 22 (8). pp. 5341-5351. ISSN 1524-9050

Miao, Wang and Luo, Chunbo and Min, Geyong and Mi, Yang and Yu, Zhengxin (2021) Location-based Robust Beamforming Design for Cellular-enabled UAV Communications. IEEE Internet of Things Journal, 8 (12). pp. 9934-9944. ISSN 2327-4662

Yu, Zhengxin and Hu, Jia and Min, Geyong and Wang, Zi and Miao, Wang and Li, Shancang (2021) Privacy-preserving federated deep learning for cooperative hierarchical caching in fog computing. IEEE Internet of Things Journal. ISSN 2327-4662

Gao, Weifeng and Zhao, Zhiwei and Yu, Zhengxin and Min, Geyong and Yang, Minghang and Huang, Wenjie (2020) Edge-Computing-Based Channel Allocation for Deadline-Driven IoT Networks. IEEE Transactions on Industrial Informatics, 16 (10). pp. 6693-6702. ISSN 1551-3203

Lin, Hui and Hu, Jia and Ma, Jianfeng and Xu, Li and Yu, Zhengxin (2017) A secure collaborative spectrum sensing strategy in cyber-physical systems. IEEE Access, 5. pp. 27679-27690. ISSN 2169-3536

Contribution in Book/Report/Proceedings

Zhong, Luying and Pi, Yueyang and Chen, Zheyi and Yu, Zhengxin and Miao, Wang and Chen, Xing and Min, Geyong (2024) SpreadFGL : Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation. In: IEEE INFOCOM 2024 - IEEE Conference on Computer Communications :. IEEE, pp. 1141-1150. ISBN 9798350383515

Li, Yi and Angelov, Plamen and Yu, Zhengxin and Lopez Pellicer, Alvaro and Suri, Neeraj (2024) Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. In: International Conference on Artificial Neural Networks (ICANN) :. UNSPECIFIED. (In Press)

Yu, Zhengxin and Lu, Yang and Suri, Neeraj (2023) RAFL: A Robust and Adaptive Federated Meta-Learning Framework Against Adversaries. In: 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS) :. IEEE. ISBN 9798350324341

Yu, Zhengxin and Lu, Yang and Angelov, Plamen and Suri, Neeraj (2023) PPFM : An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework. In: 2022 18th International Conference on Mobility, Sensing and Networking (MSN) :. IEEE, CHN, pp. 502-509. ISBN 9781665464581

Yu, Zhengxin and Hu, Jia and Min, Geyong and Lu, Haochuan and Zhao, Zhiwei and Wang, Haozhe and Georgalas, Nektarios (2019) Federated learning based proactive content caching in edge computing. In: 2018 IEEE Global Communications Conference (GLOBECOM) :. IEEE Global Communications Conference (GLOBECOM) . IEEE, pp. 1-6. ISBN 9781538647288

Contribution to Conference

Yuksek, Burak and Yu, Zhengxin and Suri, Neeraj and Inalhan, Gokhan (2023) Federated Meta Learning for Visual Navigation in GPS-denied Urban Airspace. In: 42nd AIAA/IEEE Digital Avionics Systems Conference (DASC), 2023-10-01 - 2023-10-05. (In Press)

Yu, Zhengxin and Hu, Jia and Min, Geyong and Xu, Han and Mills, Jed (2020) Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning. In: IEEE International Conference on Parallel and Distributed Systems, 2020-12-02 - 2020-12-04.