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2020 – today
- 2024
[j10]Zheyi Chen
, Junjie Zhang, Zhiqin Huang, Pengfei Wang, Zhengxin Yu, Wang Miao:
Computation offloading in blockchain-enabled MCS systems: A scalable deep reinforcement learning approach. Future Gener. Comput. Syst. 153: 301-311 (2024)- [j9]Wang Miao, Geyong Min, Zhengxin Yu, Xu Zhang:
Performance Analytical Modeling of Mobile Edge Computing for Mobile Vehicular Applications: A Worst-Case Perspective. IEEE Trans. Mob. Comput. 23(9): 8951-8964 (2024) - [c6]Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri:
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. ICANN (6) 2024: 159-173 - [c5]Luying Zhong, Yueyang Pi, Zheyi Chen, Zhengxin Yu, Wang Miao, Xing Chen, Geyong Min:
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation. INFOCOM 2024: 1141-1150 - [i4]Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri:
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. CoRR abs/2406.15925 (2024) - [i3]Luying Zhong, Yueyang Pi, Zheyi Chen, Zhengxin Yu, Wang Miao, Xing Chen, Geyong Min:
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation. CoRR abs/2407.11085 (2024) - 2023
- [j8]Zheyi Chen, Zhengxin Yu:
Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning. IEEE Commun. Mag. 61(6): 118-123 (2023) - [j7]Yang Lu, Zhengxin Yu, Neeraj Suri:
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. ACM Trans. Priv. Secur. 26(3): 33:1-33:39 (2023) - [j6]Xin Jiang, Zhengxin Yu, Chao Hai, Hongbo Liu, Xindong Wu, Tomás Ward:
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks. ACM Trans. Knowl. Discov. Data 17(3): 43:1-43:21 (2023) - [c4]Zhanghui Liu, Lixian Chen, Zheyi Chen, Yifan Huang, Jie Liang, Zhengxin Yu, Wang Miao:
Load Prediction in Edge Computing Using Deep Auto-Regressive Recurrent Networks. ICC 2023: 809-814 - 2022
- [j5]Zhengxin Yu, Jia Hu, Geyong Min, Zi Wang, Wang Miao, Shancang Li:
Privacy-Preserving Federated Deep Learning for Cooperative Hierarchical Caching in Fog Computing. IEEE Internet Things J. 9(22): 22246-22255 (2022) - [c3]Zhengxin Yu, Yang Lu, Plamen Angelov, Neeraj Suri:
PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework. MSN 2022: 502-509 - [i2]William Hackett, Stefan Trawicki, Zhengxin Yu, Neeraj Suri, Peter Garraghan:
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models. CoRR abs/2209.06300 (2022) - [i1]Yang Lu, Zhengxin Yu, Neeraj Suri:
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. CoRR abs/2210.00325 (2022) - 2021
- [b1]Zhengxin Yu:
Intelligent edge caching based on federated deep learning. University of Exeter, UK, 2021 - [j4]Wang Miao, Chunbo Luo, Geyong Min, Yang Mi, Zhengxin Yu:
Location-Based Robust Beamforming Design for Cellular-Enabled UAV Communications. IEEE Internet Things J. 8(12): 9934-9944 (2021) - [j3]Zhengxin Yu, Jia Hu, Geyong Min, Zhiwei Zhao, Wang Miao, M. Shamim Hossain:
Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning. IEEE Trans. Intell. Transp. Syst. 22(8): 5341-5351 (2021) - 2020
- [j2]Weifeng Gao, Zhiwei Zhao, Zhengxin Yu, Geyong Min, Minghang Yang, Wenjie Huang:
Edge-Computing-Based Channel Allocation for Deadline-Driven IoT Networks. IEEE Trans. Ind. Informatics 16(10): 6693-6702 (2020) - [c2]Zhengxin Yu, Jia Hu, Geyong Min, Han Xu, Jed Mills:
Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning. ICPADS 2020: 601-608
2010 – 2019
- 2018
- [c1]Zhengxin Yu, Jia Hu, Geyong Min, Haochuan Lu, Zhiwei Zhao, Haozhe Wang, Nektarios Georgalas:
Federated Learning Based Proactive Content Caching in Edge Computing. GLOBECOM 2018: 1-6 - 2017
- [j1]Hui Lin, Jia Hu, Jianfeng Ma, Li Xu, Zhengxin Yu:
A Secure Collaborative Spectrum Sensing Strategy in Cyber-Physical Systems. IEEE Access 5: 27679-27690 (2017)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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