Communication-Fairness Trade-Offs in Federated Learning for 6G Resource Allocation: A 200 Client Study

Resource allocation in sixth-generation (6G) networks must meet throughput, latency, and reliability targets while network conditions keep changing. At the same time, the telemetry needed to train good models is distributed across many devices and edge nodes, so sending it to a central server can vi...

Szczegółowa specyfikacja

Opis bibliograficzny

Główni autorzy:	Nizamuddin Maitlo, Mahmood Hussain Shah, Abdullah Maitlo, Ghulam Mustafa, Kaleem Arshid, Nooruddin Noonari
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2026-03-01
Seria:	Inventions
Hasła przedmiotowe:	federated learning 6G networks resource allocation communication budget fairness tail client performance (worst client)
Dostęp online:	https://www.mdpi.com/2411-5134/11/2/31
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!