Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Beijing Normal-Hong Kong Baptist University · Hong Kong Baptist University · +1 more institution
Abstract
The rapid advancement of artificial intelligence (AI) technologies has led to an increasing deployment of AI models on edge and terminal devices, driven by the proliferation of the Internet of Things (IoT) and the need for real-time data processing. This survey comprehensively explores the current state, technical challenges, and future trends of on-device AI models. We define on-device AI models as those designed to perform local data processing and inference, emphasizing their characteristics such as real-time performance, resource constraints, and enhanced data privacy. The survey is structured around key themes, including the fundamental concepts of AI models, application scenarios across various domains,…
Citation impact
- FWCI
- 113.66
- Percentile
- 100%
- References
- 230
Authors
7- XWXubin WangCorresponding
Beijing Normal-Hong Kong Baptist University, Hong Kong Baptist University, Beijing Normal University
- ZTZhiqing Tang
Beijing Normal University
- JGJianxiong Guo
Beijing Normal-Hong Kong Baptist University, Hong Kong Baptist University, Beijing Normal University
- TMTianhui Meng
Beijing Normal-Hong Kong Baptist University, Hong Kong Baptist University
- CWChenhao Wang
Beijing Normal-Hong Kong Baptist University, Hong Kong Baptist University, Beijing Normal University
Topics & keywords
- Computer science
- Enhanced Data Rates for GSM Evolution
- Artificial intelligence
- Data science