Shaolong Guo

Orcid: 0009-0002-3967-0856

According to our database1, Shaolong Guo authored at least 15 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FLET: Game-Theoretic Free-Riding Mitigation via Test Tasks in Federated Learning.
IEEE Trans. Netw., 2026

The Right to Be Forgotten Versus the Need to Be Remembered: Efficient Personalized Federated Unlearning With Optimal Incentives.
IEEE Trans. Netw. Sci. Eng., 2026

BlockAthena: A Scalable Approach for Long-Term Blockchain Crimes Analysis.
IEEE Trans. Inf. Forensics Secur., 2026

Internet of Agents: Fundamentals, Applications, and Challenges.
IEEE Trans. Cogn. Commun. Netw., 2026

2025
Agent Discovery in Internet of Agents: Challenges and Solutions.
CoRR, November, 2025

A Survey on Semantic Communication Networks: Architecture, Security, and Privacy.
IEEE Commun. Surv. Tutorials, October, 2025

Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions.
CoRR, September, 2025

Cloud-Edge Collaborative Large Model Services: Challenges and Solutions.
IEEE Netw., July, 2025

Security of Internet of Agents: Attacks and Countermeasures.
IEEE Open J. Comput. Soc., 2025

2024
Modal Parameter Recursive Estimation of Concrete Arch Dams under Seismic Loading Using an Adaptive Recursive Subspace Method.
Sensors, June, 2024

Dynamic Failure Experimental Study of a Gravity Dam Model on a Shaking Table and Analysis of Its Structural Dynamic Characteristics.
Sensors, March, 2024

2023
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects.
IEEE Internet Things J., September, 2023

2022
Graph Neural Networks with Information Anchors for Node Representation Learning.
Mob. Networks Appl., 2022

Utility-Aware Privacy-Preserving Federated Learning through Information Bottleneck.
Proceedings of the IEEE International Conference on Trust, 2022

2019
A-GNN: Anchors-Aware Graph Neural Networks for Node Embedding.
Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Systems, 2019


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