Work

LAMBO: Large AI Model Empowered Edge Intelligence

Year: 2024

Type: article

Abstract: 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 It has not been certified by peer review.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 .

Source: IEEE Communications Magazine

DOI: 10.1109/mcom.001.2400076

Authors: Li Dong, Feibo Jiang, Yubo Peng, Kezhi Wang, Kun Yang, Cunhua Pan, Robert Schober

Institutions: Hunan University of Technology and Business, Hunan Normal University, Nanjing University, Brunel University of London, Southeast University, Friedrich-Alexander-Universität Erlangen-Nürnberg

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Natural Science Foundation of Henan Province, Scientific Research Foundation of Hunan Provincial Education Department

Awards: 基于学习机制的广域电磁法激电信息提取研究, G5081173556, G8948826095

OpenAlex ID: W4403635975

FWCI: 4.053

Cites: 15

Cited by: 24

Related to: 10