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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...

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Autori principali: Nizamuddin Maitlo, Mahmood Hussain Shah, Abdullah Maitlo, Ghulam Mustafa, Kaleem Arshid, Nooruddin Noonari
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-03-01
Serie:Inventions
Soggetti:
federated learning
6G networks
resource allocation
communication budget
fairness
tail client performance (worst client)
Accesso online:https://www.mdpi.com/2411-5134/11/2/31
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