… : while focusing on distributed intelligence on the continuum, … Analytics (DA) applied on
Edge, Cloud, and Edge-to-Cloud … as Edge computing, security and privacy, artificial intelligence…

… eral aspects related to the intelligence distribution and its impact in the whole MI ecosystem.
… is why distribute intelligence processing. It is very intuitive to think that distribution is …

… 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 …

… at the IoT, cloud computing, and edge computing, respectively. The third section represents
… distributed intelligence in general. In the forth section, we go through Distributed intelligence …

… computational offloading [16]–[18]. Also, the combination of artificial intelligence and intelligent
… for addressing challenges on edge computing for aerial edge networks. In particular, the …

… In this article, we present an intelligent edge computing architecture for aerial edge networks,
which uses multi-agent machine learning to manage task offloading, while leveraging a …

… , distributed machine learning .etc. To … distributed intelligence, we propose a novel edge
computing framework, namely Edge as a Service (EaaS), to facilitate edge autonomy, edge-to-…

… We expect to investigate the optimization of edge computing and caching, where decisions
of caching, computing, and resource allocation are considered jointly. Meanwhile, the system …

… server located at the edge layer to illustrate the architecture of edge computing and …
architecture, we can summarize the importance and benefits of edge computing as follows […