# Federated learning model for credit card fraud detection with data balancing techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/federated-learning-model-for-credit-card-fraud-detection-with-data-balancing/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mustafa Abdul Salam,Khaled M. Fouad,Doaa L. El-Bably,Salah M. Elsayed |
| Citations | 112 |
| DOI | 10.1007/s00521-023-09410-2 |
| Fields | Business, Management and Accounting,Computer Science,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00521-023-09410-2.pdf |
| OpenAlex ID | https://openalex.org/W4391048150 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Khaled M. Fouad](https://scholariq.org/researchers/khaled-m-fouad/)

## Paper primary topic

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

## Paper topics

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Financial Distress and Bankruptcy Prediction](https://scholariq.org/topics/financial-distress-and-bankruptcy-prediction/)
- [Electricity Theft Detection Techniques](https://scholariq.org/topics/electricity-theft-detection-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.