Federated learning-driven digital twin framework for adaptive resource management in 6G edge networks

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Detalles Bibliográficos
Publicado en:	Journal of Electrical Systems and Information Technology vol. 13, no. 1 (Dec 2026), p. 5
Autor principal:	Rahmati, Milad
Otros Autores:	Rahmati, Nima
Publicado:	Springer Nature B.V.
Materias:	Predictive analytics Collaboration Computer architecture Communication Bandwidths Optimization Edge computing Adaptation Unmanned aerial vehicles Spectrum allocation Privacy Resource management Machine learning Federated learning Heterogeneity Autonomy Smart cities Wireless networks Simulation Performance measurement Real time operation Virtual reality Artificial intelligence 6G mobile communication Digital twins Network latency Computation offloading Communications networks Resource utilization
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