| Mobility-aware proactive edge caching for connected vehicles using federated learning Z Yu, J Hu, G Min, Z Zhao, W Miao, MS Hossain IEEE Transactions on Intelligent Transportation Systems 22 (8), 5341-5351, 2020 | 206 | 2020 |
| Federated learning based proactive content caching in edge computing Z Yu, J Hu, G Min, H Lu, Z Zhao, H Wang, N Georgalas 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 138 | 2018 |
| Privacy-preserving federated deep learning for cooperative hierarchical caching in fog computing Z Yu, J Hu, G Min, Z Wang, W Miao, S Li IEEE Internet of Things Journal 9 (22), 22246-22255, 2021 | 45 | 2021 |
| Proactive content caching for internet-of-vehicles based on peer-to-peer federated learning Z Yu, J Hu, G Min, H Xu, J Mills 2020 IEEE 26th International Conference on Parallel and Distributed Systems …, 2020 | 44 | 2020 |
| A secure collaborative spectrum sensing strategy in cyber-physical systems H Lin, J Hu, J Ma, L Xu, Z Yu IEEE Access 5, 27679-27690, 2017 | 19 | 2017 |
| Location-based robust beamforming design for cellular-enabled UAV communications W Miao, C Luo, G Min, Y Mi, Z Yu IEEE Internet of Things Journal 8 (12), 9934-9944, 2020 | 18 | 2020 |
| Edge-computing-based channel allocation for deadline-driven IoT networks W Gao, Z Zhao, Z Yu, G Min, M Yang, W Huang IEEE Transactions on Industrial Informatics 16 (10), 6693-6702, 2020 | 18 | 2020 |
| Intelligent offloading in blockchain-based mobile crowdsensing using deep reinforcement learning Z Chen, Z Yu IEEE Communications Magazine 61 (6), 118-123, 2023 | 7 | 2023 |
| Privacy-preserving decentralized federated learning over time-varying communication graph Y Lu, Z Yu, N Suri ACM Transactions on Privacy and Security 26 (3), 1-39, 2023 | 6 | 2023 |
| Computation offloading in blockchain-enabled MCS systems: A scalable deep reinforcement learning approach Z Chen, J Zhang, Z Huang, P Wang, Z Yu, W Miao Future Generation Computer Systems 153, 301-311, 2024 | 5 | 2024 |
| DNformer: Temporal link prediction with transfer learning in dynamic networks X Jiang, Z Yu, C Hai, H Liu, X Wu, T Ward ACM Transactions on Knowledge Discovery from Data 17 (3), 1-21, 2023 | 3 | 2023 |
| RAFL: A Robust and Adaptive Federated Meta-Learning Framework Against Adversaries Z Yu, Y Lu, N Suri 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems …, 2023 | 1 | 2023 |
| Ppfm: An adaptive and hierarchical peer-to-peer federated meta-learning framework Z Yu, Y Lu, P Angelov, N Suri 2022 18th International Conference on Mobility, Sensing and Networking (MSN …, 2022 | 1 | 2022 |
| PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models W Hackett, S Trawicki, Z Yu, N Suri, P Garraghan arXiv preprint arXiv:2209.06300, 2022 | 1 | 2022 |
| Modeling Short-form Video Transfer in Information Centric Network H Xu, H Wang, J Hu, Z Yu 2021 20th International Conference on Ubiquitous Computing and …, 2021 | 1 | 2021 |
| Intelligent edge caching based on federated deep learning Z Yu PQDT-UK & Ireland, 2021 | 1 | 2021 |
| Performance analytical modelling of mobile edge computing for mobile vehicular applications: a worst-case perspective W Miao, G Min, Z Yu, X Zhang IEEE Transactions on Mobile Computing, 2024 | | 2024 |
| Load Prediction in Edge Computing Using Deep Auto-Regressive Recurrent Networks Z Liu, L Chen, Z Chen, Y Huang, J Liang, Z Yu, W Miao ICC 2023-IEEE International Conference on Communications, 809-814, 2023 | | 2023 |
| Federated Meta Learning for Visual Navigation in GPS-denied Urban Airspace B Yuksek, Z Yu, N Suri, G Inalhan | | 2023 |
Geyong MinUniversity of ExeterVerified email at exeter.ac.uk
