A Lightweight Privacy-Enhanced Federated Clustering Algorithm for Edge Computing
In edge computing scenarios, the data generated by distributed devices is characterized by its dispersion, heterogeneity, and privacy sensitivity, posing significant challenges to federated clustering, including high communication overhead, difficulty in adapting to non-IID data, and significant pri...
Guardado en:
| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2025-12-01
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| Colección: | Sensors |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/1424-8220/25/24/7544 |
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