Edge computing and federated learning for privacy-preserving IoT analytics
Abstract The explosive growth of the Internet of Things (IoT) has introduced significant challenges in data privacy, communication overhead, and real-time analytics. Traditional centralised approaches to data processing not only raise privacy concerns but also introduce high latency and scalability...
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| Formato: | Artigo |
| Lenguaje: | Inglês |
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SpringerOpen
2025-12-01
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| Colección: | EURASIP Journal on Wireless Communications and Networking |
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| Acceso en línea: | https://doi.org/10.1186/s13638-025-02545-x |
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