Research interests
Federated Learning, Blockchain, Edge Computing
Publications
FedAGA: A federated learning framework for enhanced inter-client relationship learning
J Ge, Gaochao Xu, J Lu, Eric Xu, Q Sheng, Xi Zheng
(2024), Vol. 286, pp. 1-12, Knowledge-Based Systems, Amsterdam, The Netherlands, C1
A Learning-Based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence
Y Zhao, C Xu, Y Qu, Y Xiang, F Chen, L Gao
(2024), pp. 1-15, IEEE Internet of Things Journal, Piscataway, N.J., C1
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation
C Xu, Y Qu, T Luan, P Eklund, Y Xiang, L Gao
(2023), Vol. 72, pp. 6584-6598, IEEE Transactions on Vehicular Technology, C1
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Chenhao Xu, Jiaqi Ge, Yong Li, Yao Deng, Longxiang Gao, Mengshi Zhang, Yong Xiang, Xi Zheng
(2023), pp. 1-14, IEEE Transactions on Mobile Computing, Piscataway, N.J., C1
An Optimized Privacy-Protected Blockchain System for Supply Chain on Internet of Things
Chenhao Xu, Youyang Qu, Yong Xiang, Tom Luan, Longxiang Gao
(2023), pp. 1-12, IEEE Internet of Things, Piscataway, N.J., C1
Asynchronous federated learning on heterogeneous devices: A survey
C Xu, Y Qu, Y Xiang, L Gao
(2023), Vol. 50, pp. 1-15, Computer Science Review, Amsterdam, The Netherlands, C1
A Light-weight and Attack-Proof Bidirectional Blockchain Paradigm for Internet of Things
Chenhao Xu, Youyang Qu, Tom Luan, Peter Eklund, Yong Xiang, Longxiang Gao
(2022), pp. 1-13, IEEE Internet of Things Journal, Piscataway, N.J., C1
Youyang Qu, Eric Xu, Longxiang Gao, Yong Xiang, Shui Yu
(2022), Vol. 5, pp. 85-90, IEEE Internet of Things Magazine, Piscataway, NJ., C1
BASS: Blockchain-Based Asynchronous SignSGD for Robust Collaborative Data Mining
C Xu, Y Qu, Y Xiang, L Gao, D Smith, S Yu
(2022), pp. 1-7, DSAA 2022 : Proceedings of the 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, Online, E1
Blockchain-enabled asynchronous federated learning in edge computing
Y Liu, Y Qu, C Xu, Z Hao, B Gu
(2021), Vol. 21, Sensors, Switzerland, C1
BAFL: An Efficient Blockchain-Based Asynchronous Federated Learning Framework
C Xu, Y Qu, P Eklund, Y Xiang, L Gao
(2021), pp. 1-6, ISCC 2021 : Proceedings of the 2021 IEEE Symposium on Computers and Communications, Athens, Greece, E1
Funded Projects at Deakin
No Funded Projects at Deakin found
Supervisions
No completed student supervisions to report