… intelligence. In this article, we divide edge intelligence into AI for edge (intelligence-enabled
edge computing) and AI on edge (artificial intelligence on edge). The former focuses on …

… that naturally suits for edge computing. Therefore, due to space limitation, in the remaining
of this paper, we will focus on the interaction between deep learning and edge computing. We …

… We propose a distributed intelligent video surveillance system by combining the IoT, AI, and
… edge computing platform for the DIVS system, providing flexible and scalable computing …

… for resource allocation, computational task scheduling, and … Edge computing extends
cloud analytics to the network edge … of the IoT with AI aided by edge computing and the cloud. …

… enabler of IoT, multiaccess edge computing (MEC), … computing capabilities at the edge of
the radio access network (RAN). By providing computational and storage resources at the edge…

… not provide a survey on edge computing, however, this survey … distributed intelligence
techniques in IoT by utilizing various technologies, such as cloud-computing, and mist-computing. …

… of artificial intelligence, can be integrated into edge computing frameworks to build … edge
computing frameworks and networks to better serve Edge DL, as “Edge computing for DL”. …

… In this article, we present an intelligent cooperative edge (ICE) computing in IoT networks to
… edge computing. The AI-related modules of edge computing are redesigned for distributing …

… edge computing for AI (Edge4AI) and AI for edge computing (… for distributed AI functionality,
further dividing edge computing … edgefocused view combines both AI for Edge computing and …

… This framework uses neural architecture search method to split the DNN in mobile edge
computing (MEC) according to the computing power and communication capacity of MEC …