Repository landing page
Edge Intelligence : Empowering Intelligence to the Edge of Network
Abstract
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data are captured based on artificial intelligence. Edge intelligence aims at enhancing data processing and protects the privacy and security of the data and users. Although recently emerged, spanning the period from 2011 to now, this field of research has shown explosive growth over the past five years. In this article, we present a thorough and comprehensive survey of the literature surrounding edge intelligence. We first identify four fundamental components of edge intelligence, i.e., edge caching, edge training, edge inference, and edge offloading based on theoretical and practical results pertaining to proposed and deployed systems. We then aim for a systematic classification of the state of the solutions by examining research results and observations for each of the four components and present a taxonomy that includes practical problems, adopted techniques, and application goals. For each category, we elaborate, compare, and analyze the literature from the perspectives of adopted techniques, objectives, performance, advantages and drawbacks, and so on. This article provides a comprehensive survey of edge intelligence and its application areas. In addition, we summarize the development of the emerging research fields and the current state of the art and discuss the important open issues and possible theoretical and technical directions.Peer reviewe- Article
- acceptedVersion
- Training data
- Data privacy
- Systematics
- Edge computing
- Data collection
- Market research
- Artificial intelligence
- Inference algorithms
- Artificial intelligence (AI)
- edge caching
- edge computing
- inference
- model training
- offloading
- CONVOLUTIONAL NEURAL-NETWORK
- GATHERING ROUTING PROTOCOL
- DATA-COLLECTION
- BIG DATA
- ARTIFICIAL-INTELLIGENCE
- LEARNING FRAMEWORK
- SENSOR NETWORKS
- SMART CITY
- MOBILE
- ARCHITECTURE
- 113 Computer and information sciences