| CSG ID | 2040 |
| Type | Official Publications: Workshop Paper |
| BibTeX Key | NECS25 |
| Author(s) | Nasim Nezhadsistani Francisco Enguix Carlos Carrascosa Burkhard Stiller |
| Title | Decentralized Federated Learning for Intrusion Detection in 5G Networks: An Asynchronous Consensus-driven Multi-Agent Approach |
| Book Title | - |
| Publisher | Technische Universität Ilmenau |
| Publication Place | Ilmenau, Germany |
| Date | 1. September 2025 |
| End Date | 4. September 2025 |
| Subtype | Original Work |
| Is Refereed | Yes |
| Presentation Type | Paper |
| Event Title | 24th International Conference on Networked Systems 2025, 3rd International Workshop on Machine Learning in Networking (MaLeNe 2025) |
| Event Type | Workshop |
| Event Location | Ilmenau, Germany |
| Page Range | 1–6 |