Yuanqin He

According to our database, Yuanqin He authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan, Qiang Yang

CoRR, 2023

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

Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang

CoRR, 2023

2022

Vertical Federated Learning.

Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang

CoRR, 2022

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

Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang

CoRR, 2022

A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning.

Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang

CoRR, 2022

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

Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning.

Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang

CoRR, 2021

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

Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang

CoRR, 2021

Self-supervised Cross-silo Federated Neural Architecture Search.

Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang

CoRR, 2021