Machine Learning With Computer Networks: Techniques, Datasets, and Models

Author:

Afifi Haitham1ORCID,Pochaba Sabrina2ORCID,Boltres Andreas3ORCID,Laniewski Dominic4ORCID,Haberer Janek5ORCID,Paeleke Leonard6ORCID,Poorzare Reza7ORCID,Stolpmann Daniel8ORCID,Wehner Nikolas9ORCID,Redder Adrian10ORCID,Samikwa Eric11ORCID,Seufert Michael12ORCID

Affiliation:

1. Accenture, Kronberg im Taunus, Germany

2. Salzburg Research Forschungsgesellschaft m.b.H., Salzburg, Austria

3. Autonomous Learning Robots Laboratory, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

4. Institute of Computer Science, Osnabrück University, Osnabrück, Germany

5. Distributed Systems Group, Kiel University, Kiel, Germany

6. Digital Engineering Faculty, University of Potsdam, Potsdam, Germany

7. Wirtschaft Center of Applied Research, Data-Centric Software Systems (DSS) Research Group, Institute of Applied Research, Hochschule Karlsruhe Technik, Karlsruhe, Germany

8. Institute of Communication Networks, Hamburg University of Technology, Hamburg, Germany

9. Chair of Communication Networks, University of Würzburg, Würzburg, Germany

10. Universität Paderborn, Paderborn, Germany

11. Institute of Computer Science, University of Bern, Bern, Switzerland

12. Chair of Networked Embedded Systems and Communication Systems, University of Augsburg, Augsburg, Germany

Funder

German Research Foundation [Deutsche Forschungsgemeinschaft (DFG)]

Federal Ministry of Education and Research of Germany

Federal Ministry for Economic Affairs and Climate Action of Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. QoEXplainer: Mediating Explainable Quality of Experience Models with Large Language Models;2024 16th International Conference on Quality of Multimedia Experience (QoMEX);2024-06-18

2. Protecting Healthcare Systems Through an ML-Powered Cyberattack Detection Within Software-Defined Networking (SDN);2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

3. Game Strategies for Data Transfer Infrastructures Against ML-Profile Exploits;IEEE Transactions on Machine Learning in Communications and Networking;2024

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