KDN-FLB: Knowledge-Defined Networking Through Federated Learning and Blockchain
This article investigates the integration of federated learning and blockchain (FLB) technologies in developing a secure and adaptable knowledge-defined networking system, KDN-LB. It highlights KDN-FLB’s potential to enhance network performance and privacy while addressing the challenges of knowledge sharing in decentralized environments.
Authors
- Schahram Dustdar (ORCID: https://orcid.org/0000-0001-6872-8821)
- Min Huang (ORCID: https://orcid.org/0000-0003-3793-968X)
- Ilir Murturi (ORCID: https://orcid.org/0000-0003-0240-3834)
- Ying Li (ORCID: https://orcid.org/0000-0002-6585-0714)
- Praveen Kumar Donta (ORCID: https://orcid.org/0000-0002-8233-6071)
- Xingwei Wang (ORCID: https://orcid.org/0000-0003-2856-4716)
Institutions
- TU Wien (AT)
- Stockholm University (SE)
- Northeastern University (CN)
Publication Details
- Journal
- Computer
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1109/mc.2024.3471984
- Citations
- 3
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 2.53
Funders
- National Natural Science Foundation of China