Federated Learning for IoT: Applications, Trends, Taxonomy, Challenges, Current Solutions, and Future Directions
The rapid advancement of Internet of Things (IoT) technology has transformed the digital landscape, enabling unprecedented connectivity between devices, people, and services. Traditionally, IoT-generated data was processed through centralized, cloud-based machine learning (ML) systems, raising signi...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2024-01-01
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| Serie: | IEEE Open Journal of the Communications Society |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10767353/ |
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