… a mobile object recognition framework, named DeepCham, which collaboratively trains
adaptation models [120]. The DeepCham framework consists of one master, ie, edge server and …

… and challenges of different application scenarios. We examine edge intelligence that targets
… In this article, we provide a review of the edge-based IoT healthcare frameworks that focus …

… security and privacy preservation have become urgent issues for EC, great progress in artificial
intelligence … the IoT service framework with EC, which solves the problems of insufficient …

… light to the challenges of edge AI, potential solutions to these challenges, and a roadmap
towards … [5] introduce an Open Framework for Edge Intelligence (OpenEI) which is a lightweight …

… well as challenges of securing Microservices at IoT edge. We … -based edge computing
framework that provides secure edge … techniques for edge intelligence and the crucial challenge of …

… Many manufacturers are considering this framework to improve the driving experience [4]. …
A feasibility study can be addressed in the future to embed an intelligent model within our …

… a comprehensive survey of edge intelligence and its … the current state of the art and discuss
the important open issues … framework, Cachier, to cache the recognition results on edge …

… edge into model adaptation, framework design, and processor acceleration and introduce
some existing research results. Finally, we present the state-of-the-art and grand challenges in …

… to solve the existing problems of edge computing security, this … In recent years, with the rise
of edge intelligence and edge … It is an edge computing communication security framework …

… software may run inside the security environment with all the associated security risks [46]. …
Development Framework The framework for the future development of 5G and beyond is …