DOI码：10.1038/s44287-024-00053-6
发表刊物：Nature Reviews Electrical Engineering
摘要：Generative artificial intelligence (GenAI) has brought about profound transformations across the diverse domains of the Internet of Things such as manufacturing, marketing, medicine, education and work assistance. However, the proliferation of computationally intensive and highly complex GenAI models poses substantial challenges to servers and central network capacities. To effectively permeate various facets of our lives, GenAI heavily relies on mobile edge computing. In this Perspective article, we first introduce GenAI applications on edge devices highlighting its potential capacity to revolutionize our everyday life. We then outline the challenges associated with deploying GenAI on edge devices and present possible solutions to effectively address these obstacles. Finally, we introduce an intelligent mobile edge computing paradigm able to reduce response latency, improve efficiency, strengthen security and privacy preservation and conserve energy, opening the way to a sustainable and efficient application of the different GenAI models.
合写作者：Ning Zhang,Scott A. King,Dajiang Chen
第一作者：Laha Ale
论文类型：SCI
卷号：1
期号：2024
页面范围：478–486
是否译文：否
发表时间：2024-07-14
收录刊物：SCI