关注
Zhengxin Yu
Zhengxin Yu
在 lancaster.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
2292020
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
1432018
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
512020
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
492021
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
192020
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
192017
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
182020
Intelligent offloading in blockchain-based mobile crowdsensing using deep reinforcement learning
Z Chen, Z Yu
IEEE Communications Magazine 61 (6), 118-123, 2023
92023
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
82023
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
62024
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
62023
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
22023
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
12022
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
12022
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
12021
Intelligent edge caching based on federated deep learning
Z Yu
PQDT-UK & Ireland, 2021
12021
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
Y Li, P Angelov, Z Yu, AL Pellicer, N Suri
arXiv preprint arXiv:2406.15925, 2024
2024
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
系统目前无法执行此操作,请稍后再试。
文章 1–20