… on-demand low-latency edge intelligence. While the topic of edge intelligence has began to
… the benefits of collaborative edge intelligence between the edge and mobile devices, and …

… the recent advances in edge intelligence in both academia … edge intelligence. Specifically,
the book first reviewsthe background and present motivation for AI running at the network edge…

… In conclusion, driven by the breakthroughs in deep learning and the … edge intelligence to
provide a broader vision and perspective. In Section II, we discuss the relation between edge …

… computing is gradually being combined with Artificial Intelligence (AI), benefiting each … edge
intelligence and intelligent edge as depicted in Fig. 1. Edge intelligence and intelligent edge …

… We take into account the complicated scenario of edge intelligence, where there are
heterogeneous devices with different computing power and channel state. The gap of …

… of edge intelligence, ie, edge caching, edge training, edge inference, and edge offloading
… This article provides a comprehensive survey of edge intelligence and its application areas. …

… By pre-caching multiple kinds of deep learning models at SBSs for different kinds of tasks,
we can reduce the computation time and further improve users’ QoE. Taylor et al. propose an …

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

… Machine learning, and in particular deep learning, is the defacto processing paradigm for
intelligently processing these immense volumes of data. However, the resource inhibited …

… requirements and trends that will drive edge intelligence for 6G, especially from the perspective
of self-learning. In particular, we propose a self-learning-based architecture and discuss …