A novel communication-efficient heterogeneous federated positive and unlabeled learning method for credit scoring
Yongqin Qiu, Yuanxing Chen, Kan Fang, Kuangnan Fang
| Year of publication: |
2025
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| Authors: | Qiu, Yongqin ; Chen, Yuanxing ; Fang, Kan ; Fang, Kuangnan |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 177.2025, Art.-No. 106982, p. 1-21
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| Subject: | Credit scoring | Federated learning | Heterogeneous servers | PU learning | Kreditwürdigkeit | Credit rating | Theorie | Theory | Lernprozess | Learning process | Lernen | Learning |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2025.106982 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015338115