FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning

Author:

Li Anran1,Peng Hongyi1,Zhang Lan2,Huang Jiahui2,Guo Qing3,Yu Han1,Liu Yang4

Affiliation:

1. Nanyang Technological University,Singapore

2. University of Science and Technology of China,China

3. A*STAR,Center for Frontier AI Research (CFAR),Singapore

4. Zhejiang Sci-Tech University,China

Funder

Nanyang Technological University

National Research Foundation

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Reference41 articles.

1. Fate-federated-ai,0

2. Feature selection datasets,2010

3. Angel powerfl,0

4. Multivariate Adaptive Regression Splines

5. Feature selection using stochastic gates;yamada;International Conference on Machine Learning,2020

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