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Model Drift in Dynamic Networks

  • Published:2023-10 Issue:10 Volume:61 Page:78-84
  • ISSN:0163-6804
  • Container-title:IEEE Communications Magazine
  • language:
  • Short-container-title:IEEE Commun. Mag.

Author:

Manias Dimitrios Michael1,Chouman Ali1,Shami Abdallah1

Affiliation:

1. Western University,Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications

Reference15 articles.

1. Concept drift detection and adaptation for federated and continual learning

2. Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors;zhang;Technometrics,2022

3. Towards Supporting Intelligence in 5G/6G Core Networks: NWDAF Implementation and Initial Analysis

4. A K-Means clustering and SVM based hybrid concept drift detection technique for network anomaly detection

5. Early Drift Detection Method;baena-garcia;Int'l Wksp on Knowl Disco from Data Streams,2006

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3. Towards Intent-Based Network Management: Large Language Models for Intent Extraction in 5G Core Networks;2024 20th International Conference on the Design of Reliable Communication Networks (DRCN);2024-05-06

4. ERAFL: Efficient Resource Allocation for Federated Learning Training in Smart Homes;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06

5. The drift handling framework for open radio access networks: An experimental evaluation;Computer Networks;2024-04
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