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Publication Details

CSG ID2039
TypePresentations: Talk
BibTeX KeyNECS25
Author(s)Nasim Nezhadsistani
TitleDecentralized Federated Learning for Intrusion Detection in 5G Networks: An Asynchronous Consensus-driven Multi-Agent Approach
Publication PlaceIlmenau, Germany
Date1. September 2025
SubtypeOriginal Work
Is RefereedNo
Presentation TypePaper
Event Title24th International Conference on Networked Systems 2025, 3rd International Workshop on Machine Learning in Networking (MaLeNe 2025)
Event TypeConference
Event LocationIlmenau, Germany