Federated Network Intelligence Orchestration for scalable and automated FL-based anomaly detection in B5G Networks
Author:
Affiliation:
1. University of Murcia,Department of Information and Communication Engineering,Spain
Funder
European Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10520248/10520339/10520615.pdf?arnumber=10520615
Reference12 articles.
1. Communication-Efficient Learning of Deep Networks from Decentralized Data;McMahan,2017
2. Survey of intrusion detection systems: techniques, datasets and challenges;Khraisat;Cybersecurity,2019
3. Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
4. A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks
5. Evaluating federated learning for intrusion detection in internet of things: Review and challenges;Campos;Computer Networks,2022
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