Yuanqin He

Orcid: 0000-0001-5468-6608

According to our database1, Yuanqin He authored at least 15 papers between 2021 and 2024.

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

Timeline

2021
2022
2023
2024
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1
2
3
4
5
6
7
6
2
3
3
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework.
ACM Trans. Intell. Syst. Technol., December, 2024

Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning.
IEEE Trans. Big Data, December, 2024

Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability.
IEEE Trans. Big Data, December, 2024

Vertical Federated Learning: Concepts, Advances, and Challenges.
IEEE Trans. Knowl. Data Eng., July, 2024

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
J. Comput. Sci. Technol., July, 2024

FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom.
CoRR, 2024

2023
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
CoRR, 2023

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning.
CoRR, 2023

2022
Vertical Federated Learning.
CoRR, 2022

A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning.
CoRR, 2022

A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning.
CoRR, 2022

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Defending Label Inference and Backdoor Attacks in Vertical Federated Learning.
CoRR, 2021

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning.
CoRR, 2021

Self-supervised Cross-silo Federated Neural Architecture Search.
CoRR, 2021


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