Wanwan Wang

According to our database, Wanwan Wang authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party.

Yimin Huang, Wanwan Wang, Xingying Zhao, Yukun Wang, Xinyu Feng, Hao He, Ming Yao

ACM Trans. Knowl. Discov. Data, April, 2024

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Networks.

Zheng Wang, Wanwan Wang, Yimin Huang, Zhaopeng Peng, Ziqi Yang, Cheng Wang, Xiaoliang Fan

CoRR, 2024

Secure Data Sharing Based on SM9 for Privacy Preserving Computing.

Hongbin Zhu, Yunzhao Li, Haoyu Gu, Wanwan Wang

Proceedings of the International Conference on Computing, 2024

A Secure Enhancement Scheme for Interworking Privacy-Preserving Multi-Party Collaborative Modeling.

Yiwen Jiang, Jiawei Jiang, Ge Zhang, Jimeng Song, Wanwan Wang

Proceedings of the International Conference on Computing, 2024

2023

Application of improved Naive Bayes classification algorithm in 5G signaling analysis.

Wanwan Wang, Yu Duan, Longhan Cao, Zhenghong Jiang

J. Supercomput., April, 2023

2022

EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party.

Yimin Huang, Xinyu Feng, Wanwan Wang, Hao He, Yukun Wang, Ming Yao

CoRR, 2022

NTP-VFL - A New Scheme for Non-3rd Party Vertical Federated Learning.

Di Zhao, Ming Yao, Wanwan Wang, Hao He, Xin Jin

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

Artistic Style Discovery with Independent Components.

Xin Xie, Yi Li, Huaibo Huang, Haiyan Fu, Wanwan Wang, Yanqing Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2019

A Signaling Analysis Algorithm in 5G Terminal Simulator.

Yu Duan, Wanwan Wang, Zhizhong Zhang

Proceedings of the Communications and Networking, 2019

2018

An empirical evaluation of high utility itemset mining algorithms.

Chongsheng Zhang, George Almpanidis, Wanwan Wang, Changchang Liu

Expert Syst. Appl., 2018