Decentralized Privacy using Blockchain-Enabled Federated Learning in Fog Computing Y Qu, L Gao, L Luan, H., S Yu, Y Xiang, B Li, G Zheng IEEE Internet of Things Journal, 2020 | 376 | 2020 |
Security and Privacy in Smart Cities: Challenges and Opportunities L Cui, Y Qu IEEE Access, 2018 | 302 | 2018 |
A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks Y Qu, SR Pokhrel, S Garg, L Gao, Y Xiang IEEE Transactions on Industrial Informatics, 2020 | 296 | 2020 |
Asynchronous federated learning on heterogeneous devices: A survey C Xu, Y Qu, Y Xiang, L Gao arXiv:2109.04269v1 50, 100595, 2021 | 201 | 2021 |
Security and privacy-enhanced federated learning for anomaly detection in IoT infrastructures Y Qu, L Cui, G Xie, D Zeng, R Li, S Shen, S Yu IEEE Transactions on Industrial Informatics, 2021 | 146 | 2021 |
Detecting false data attacks using machine learning techniques in smart grid: A survey L Cui, Y Qu, L Gao, G Xie, S Yu Journal of Network and Computer Applications 170, 102808, 2020 | 135 | 2020 |
Blockchain-Enabled Federated Learning: A Survey Y QU, P Uddin, C Gan, L Gao, Y Xiang, J Yearwood ACM Computing Surveys, 2022 | 133 | 2022 |
Privacy of things: Emerging challenges and opportunities in wireless internet of things Y Qu, S Yu, W Zhou, S Peng, G Wang, K Xiao IEEE Wireless Communications 25 (6), 91-97, 2018 | 109 | 2018 |
Smart cities cybersecurity and privacy DB Rawat, KZ Ghafoor Elsevier, 2018 | 107 | 2018 |
A hybrid privacy protection scheme in cyber-physical social networks Y Qu, S Yu, L Gao, W Zhou, S Peng IEEE Transactions on Computational Social Systems 5 (3), 773-784, 2018 | 79 | 2018 |
Privacy-preserving blockchain-enabled federated learning for B5G-Driven edge computing Y Wan, Y Qu, L Gao, Y Xiang Computer Networks 204, 108671, 2022 | 64 | 2022 |
A lightweight and attack-proof bidirectional blockchain paradigm for internet of things C Xu, Y Qu, TH Luan, PW Eklund, Y Xiang, L Gao IEEE Internet of Things Journal 9 (6), 4371-4384, 2021 | 63 | 2021 |
GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems Y Qu, S Yu, W Zhou, Y Tian IEEE Transactions on Network Science and Engineering, 2020 | 60 | 2020 |
Privacy on the edge: Customizable privacy-preserving context sharing in hierarchical edge computing B Gu, L Gao, X Wang, Y Qu, J Jin, S Yu IEEE Transactions on Network Science and Engineering 7 (4), 2298-2309, 2019 | 56 | 2019 |
Blockchain-enabled asynchronous federated learning in edge computing Y Liu, Y Qu, C Xu, Z Hao, B Gu Sensors 21 (10), 3335, 2021 | 53 | 2021 |
Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes Y Shen, S Shen, Q Li, H Zhou, Z Wu, Y Qu Digital Communications and Networks 9 (4), 906-919, 2023 | 47 | 2023 |
Security-aware and privacy-preserving personal health record sharing using consortium blockchain Y Wang, A Zhang, P Zhang, Y Qu, S Yu IEEE Internet of Things Journal 9 (14), 12014-12028, 2021 | 46 | 2021 |
FedTwin: Blockchain-enabled adaptive asynchronous federated learning for digital twin networks Y Qu, L Gao, Y Xiang, S Shen, S Yu IEEE Network 36 (6), 183-190, 2022 | 45 | 2022 |
Privacy preservation in smart cities Y Qu, MR Nosouhi, L Cui, S Yu Smart cities cybersecurity and privacy, 75-88, 2019 | 42 | 2019 |
Improving Data Utility through Game Theory in Personalized Differential Privacy Y Qu, MR Cui, Lei, Nosouhi, S Yu, JW Niu, G Xie Journal of Computer Science of Technology 34 (2), 272-286, 2019 | 39 | 2019 |