"Privacy-Preserving Federated Learning for Detecting Fraudulent Financial ..."

Sachiko Kanamori et al. (2022)

> Home

Details and statistics

DOI: 10.2197/IPSJJIP.30.789

access: open

type: Journal Article

metadata version: 2023-01-18

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jip/KanamoriAIEWYPAKNOM22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jip/KanamoriAIEWYPAKNOM22
Sachiko Kanamori, Taeko Abe, Takuma Ito, Keita Emura, Lihua Wang, Shuntaro Yamamoto, Le Trieu Phong, Kaien Abe, Sangwook Kim, Ryo Nojima, Seiichi Ozawa, Shiho Moriai:
Privacy-Preserving Federated Learning for Detecting Fraudulent Financial Transactions in Japanese Banks. J. Inf. Process. 30: 789-795 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.