TRACE: A trust-aware incentive mechanism for federated learning in IoMT
Abstract Federated Learning (FL) has emerged as a promising privacy-preserving framework for the Internet of Medical Things (IoMT), yet issues like client selfishness and data heterogeneity impair model generalization, resulting in suboptimal and potentially unsafe medical diagnostics. Existing ince...
Gorde:
| Egile Nagusiak: | , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Springer
2025-08-01
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| Saila: | Journal of King Saud University: Computer and Information Sciences |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/s44443-025-00172-6 |
| Etiketak: |
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