Advancing Federated Learning Frameworks for Privacy-preserving Cyber Threat Detection in Healthcare Systems
Abstract Federated learning (FL) has emerged as a promising paradigm for privacy-preserving analytics in distributed healthcare systems, yet its deployment for real-time cybersecurity in mobile health (mHealth) environments remains insufficiently understood. This study presents a domain-specific fed...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer
2026-03-01
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| Reeks: | International Journal of Computational Intelligence Systems |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/s44196-026-01274-3 |
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