Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector.
Dae-Young Park|In-Young Ko|Taek-Ho Lee|Junghye Lee
| Anthology ID: | DBLP:conf/cikm/ParkKLL25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 5089-5093 |
| URL: | https://doi.org/10.1145/3746252.3760891 |
| DOI: | https://doi.org/10.1145/3746252.3760891 |
| DBLP: | conf/cikm/ParkKLL25 |
| BibTeX: |
@inproceedings{park-2025-federated,
author = {Dae-Young Park and
In-Young Ko and
Taek-Ho Lee and
Junghye Lee},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {5089--5093},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3760891},
doi = {https://doi.org/10.1145/3746252.3760891}
}