# A hybrid CNN–transformer framework with self-supervised and federated learning for privacy-preserving cardiovascular disease diagnosis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-cnn-transformer-framework-with-self-supervised-and-federated-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | N. Meenakshi,J.J. Jayakanth,E. Divya,M. Lavanya,Deepa Simon |
| Citations | 0 |
| DOI | 10.1201/9781003666929-90 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7126215192 |
| Type | book-chapter |
| Year | 2026 |

## Paper authors

- [Deepa Simon](https://scholariq.org/researchers/deepa-simon/)

## Paper primary topic

- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)

## Paper topics

- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)
- [Cardiac electrophysiology and arrhythmias](https://scholariq.org/topics/cardiac-electrophysiology-and-arrhythmias/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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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.