Profile image of Eric Xu

Dr Eric Xu

STAFF PROFILE

Position

Associate Research Fellow

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Qualifications

Doctor of Philosophy, Deakin University, 2023
Bachelor of Science in Software Engineering, Beijing Inst. of Technology, 2018

Contact

chenhao.xu@deakin.edu.au
+61 3 522 72240

Research interests

Federated Learning, Blockchain, Edge Computing

Publications

Filter by

2024

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

journal article

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

journal article
2023

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

journal article

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

journal article

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

journal article

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

journal article
2022

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

journal article

FL-SEC: Privacy-Preserving Decentralized Federated Learning Using SignSGD for the Internet of Artificially Intelligent Things

Youyang Qu, Eric Xu, Longxiang Gao, Yong Xiang, Shui Yu

(2022), Vol. 5, pp. 85-90, IEEE Internet of Things Magazine, Piscataway, NJ., C1

journal article

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

conference
2021

Blockchain-enabled asynchronous federated learning in edge computing

Y Liu, Y Qu, C Xu, Z Hao, B Gu

(2021), Vol. 21, Sensors, Switzerland, C1

journal article

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

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report