FedPV-FS: A Feature Selection Method for Federated Learning in Insurance Precision Marketing
- DOI
- 10.1007/978-3-031-57808-3_31
- Published
- 2024
- Container
- Not recorded
- Publisher
- Springer Nature Switzerland
- Open access
- no
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limited evidence Score 49/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-57808-3_31,
title = {FedPV-FS: A Feature Selection Method for Federated Learning in Insurance Precision Marketing},
author = {Chunkai Wang and Jian Feng},
year = {2024},
doi = {10.1007/978-3-031-57808-3_31},
url = {https://doi.org/10.1007/978-3-031-57808-3_31}
}RIS
TY - JOUR TI - FedPV-FS: A Feature Selection Method for Federated Learning in Insurance Precision Marketing AU - Chunkai Wang AU - Jian Feng PY - 2024 DO - 10.1007/978-3-031-57808-3_31 UR - https://doi.org/10.1007/978-3-031-57808-3_31 ER -
APA
Wang, C., & Feng, J. (2024). FedPV-FS: A Feature Selection Method for Federated Learning in Insurance Precision Marketing. https://doi.org/10.1007/978-3-031-57808-3_31
Source records
- hal · retrieved 2026-09-25T11:42:49.683Z