Hongliang Zhang

Orcid: 0009-0003-8961-6046

Affiliations:
  • Qilu University of Technology, School of Computer Science and Technology, Jinan, China
  • Shandong Academy of Sciences, Shandong Computer Science Center, Jinan, China


According to our database1, Hongliang Zhang authored at least 17 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PPFPL: Cross-Silo Privacy-Preserving Federated Prototype Learning Against Data Poisoning Attacks.
IEEE Trans. Artif. Intell., June, 2026

Towards Performance-Enhanced Model-Contrastive Federated Learning using Historical Information in Heterogeneous Scenarios.
CoRR, February, 2026

Toward Model-Contrastive Federated Learning With Lightweight Privacy Preservation and Poisoning Attack Detection.
IEEE Trans. Dependable Secur. Comput., 2026

Shortening the prefix! Members and non-members exhibit divergent behavior.
Knowl. Based Syst., 2026

DFPL: Decentralized Federated Prototype Learning Across Heterogeneous Data Distributions.
IEEE Internet Things J., 2026

BCE-PPDS: Blockchain-based cloud-edge collaborative privacy-preserving data sharing scheme for IoT.
Future Gener. Comput. Syst., 2026

2025
Resisting against targeted poisoning attacks in lightweight privacy preserving federated learning.
J. Supercomput., October, 2025

DFPL: Decentralized Federated Prototype Learning Across Heterogeneous Data Distributions.
CoRR, May, 2025

PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks on Non-IID Data.
CoRR, April, 2025

LPP-FL: A Lightweight Privacy-Preserving Federated Learning Against Byzantine Attacks on Non-IID Data.
IEEE Trans. Inf. Forensics Secur., 2025

BAFL-SVM: A blockchain-assisted federated learning-driven SVM framework for smart agriculture.
High Confid. Comput., 2025

Lattice-based Dynamic Privacy-preserving Cross-chain Payment Scheme.
Proceedings of the 24th IEEE International Conference on Trust, 2025

FedSDA: Enhancing Federated Learning with Client-Specific Data Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2025

2024
FedRFQ: Prototype-Based Federated Learning With Reduced Redundancy, Minimal Failure, and Enhanced Quality.
IEEE Trans. Computers, April, 2024

Defending Against Poisoning Attacks in Federated Prototype Learning on Non-IID Data.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

2022
Spatial-Temporal Chebyshev Graph Neural Network for Traffic Flow Prediction in IoT-Based ITS.
IEEE Internet Things J., 2022

Security on Ethereum: Ponzi Scheme Detection in Smart Contract.
Proceedings of the Algorithmic Aspects in Information and Management, 2022


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