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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Detalhes bibliográficos

Principais autores:	Mumin Adam, Uthman Baroudi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
coleção:	IEEE Open Journal of the Communications Society
Assuntos:	Federated learning intelligent IoT applications FL-architecture foundational models green and sustainability 6G IoT
Acesso em linha:	https://ieeexplore.ieee.org/document/10767353/
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