Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering

Abstract In the rapidly growing Internet of Things (IoT) landscape, federated learning (FL) plays a crucial role in enhancing the performance of heterogeneous edge computing environments due to its scalability, robustness, and low energy consumption. However, one of the major challenges in such envi...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Fahad Razaque Mughal, Jingsha He, Bhagwan Das, Fayaz Ali Dharejo, Nafei Zhu, Surbhi Bhatia Khan, Saeed Alzahrani
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2024-11-01
coleção:	Scientific Reports
Assuntos:	Internet of things Resource management Edge artificial intelligence Heterogeneous cluster networks Edge computing Federated learning
Acesso em linha:	https://doi.org/10.1038/s41598-024-78239-z
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!