DOI number:10.1038/s44287-024-00053-6
Journal:Nature Reviews Electrical Engineering
Abstract: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.
Co-author:Ning Zhang,Scott A. King,Dajiang Chen
First Author:Laha Ale
Indexed by:SCI
Volume:1
Issue:2024
Page Number:478–486
Translation or Not:no
Date of Publication:2024-07-14
Included Journals:SCI