Multi-Slice Privacy-Aware Traffic Forecasting at RAN Level: A Scalable Federated-Learning Approach
Author:
Affiliation:
1. Département de Génie Logiciel et des Technologies de l’information, École de Technologie Supérieure, Université du Québec, Montreal, QC, Canada
2. Univ Lyon, INSA Lyon, Inria, CITI, Villeurbanne, France
Funder
Fonds de Recherche du Québec - Nature et Technologies (FRQNT) through research
French Government through the France Relance program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications
Link
http://xplorestaging.ieee.org/ielx7/4275028/10355751/10103181.pdf?arnumber=10103181
Reference36 articles.
1. Cost-efficient method for managing network slices in a multi-service 5G core network
2. 5G network slicing: A multi-tenancy scenario
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