Chenhao Xu

Orcid: 0000-0003-0819-7269

Affiliations:
  • Victoria University, Melbourne, Australia


According to our database1, Chenhao Xu authored at least 21 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Distributed Retrieval-Augmented Generation.
CoRR, May, 2025

Deep learning techniques for Video Instance Segmentation: A survey.
Pattern Recognit., 2025

Aggregated Distinguishable Feature Learning for Generalized Deepfake Detection.
Proceedings of the International Joint Conference on Neural Networks, 2025

HSViT: Horizontally Scalable Vision Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2025

A Dropout-Resilient and Privacy-Preserving Framework for Federated Learning via Lightweight Masking.
Proceedings of the Information and Communications Security - 27th International Conference, 2025

2024
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems.
IEEE Trans. Mob. Comput., May, 2024

A Learning-Based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence.
IEEE Internet Things J., May, 2024

BASS: A Blockchain-Based Asynchronous SignSGD Architecture for Efficient and Secure Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2024

FedAGA: A federated learning framework for enhanced inter-client relationship learning.
Knowl. Based Syst., 2024

An Optimized Privacy-Protected Blockchain System for Supply Chain on Internet of Things.
IEEE Internet Things J., 2024

HSViT: Horizontally Scalable Vision Transformer.
CoRR, 2024

Federated Meta Continual Learning for Efficient and Autonomous Edge Inference.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

2023
Asynchronous federated learning on heterogeneous devices: A survey.
Comput. Sci. Rev., November, 2023

An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation.
IEEE Trans. Veh. Technol., May, 2023

RPDP: An Efficient Data Placement based on Residual Performance for P2P Storage Systems.
CoRR, 2023

AICons: An AI-Enabled Consensus Algorithm Driven by Energy Preservation and Fairness.
CoRR, 2023

2022
FL-SEC: Privacy-Preserving Decentralized Federated Learning Using SignSGD for the Internet of Artificially Intelligent Things.
IEEE Internet Things Mag., 2022

A Lightweight and Attack-Proof Bidirectional Blockchain Paradigm for Internet of Things.
IEEE Internet Things J., 2022

BASS: Blockchain-Based Asynchronous SignSGD for Robust Collaborative Data Mining.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
Blockchain-Enabled Asynchronous Federated Learning in Edge Computing.
Sensors, 2021

BAFL: An Efficient Blockchain-Based Asynchronous Federated Learning Framework.
Proceedings of the IEEE Symposium on Computers and Communications, 2021


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