LAMBO: Large AI Model Empowered Edge Intelligence
The article archived on this institutional repository is a preprint version, available at arXiv:2308.15078v2 [cs.AI], https://arxiv.org/abs/2308.15078 . It has not been certified by peer review. Please consult the published version at: https://doi.org/10.1109/MCOM.001.2400076 .
Authors
- Yubo Peng (ORCID: https://orcid.org/0000-0001-9684-2971)
- Feibo Jiang (ORCID: https://orcid.org/0000-0002-0235-0253)
- Kezhi Wang (ORCID: https://orcid.org/0000-0001-8602-0800)
- Robert Schober (ORCID: https://orcid.org/0000-0002-6420-4884)
- Cunhua Pan (ORCID: https://orcid.org/0000-0001-5286-7958)
- Dong Li (ORCID: https://orcid.org/0000-0003-4766-3808)
- Kun Yang (ORCID: https://orcid.org/0000-0002-6782-6689)
Institutions
- Hunan Normal University (CN)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Hunan University of Technology (CN)
- Brunel University of London (GB)
- Southeast University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- IEEE Communications Magazine
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1109/mcom.001.2400076
- Citations
- 15
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.21