… The present study explores an intelligent strategy to minimize computation latency using a
distributed algorithm. We develop a distributed algorithm named DeepMECagent based on …

… features on edge paradigms with cloud computing, highlights … edge as it is distributed and
decentralized. Though the paradigms of edge such as fog-computing, mobile edge computing …

… capabilities on devices distributed at the network edge, offers a … Edge computing may facilitate
ubiquitous intelligence in IoT by … , achieving ubiquitous intelligence in an edge computing-…

… edge computing to deal with these heterogeneous IoT environments. Motivated by the success
of artificial intelligence (AI) in a wide range of fields (eg, computer … edge computing could …

… cloud computing to edge computing (fog computing) recently which results in edge intelligence.
… In this paper, we design a distributed dynamic learning algorithm for MAB problem in …

… The next generation of IoT-combining technologies as presented in Figure 3.3, such as AI,
DLTs, hyperconnectivity, distributed edge computing, end-to-end distributed security and …

… This section introduces edge computing platforms for intelligent IoV. Available hardware
platforms are introduced first, and key design problems are then discussed. Examples of MEC-…

… of edge computing and AI in the cyberhuman evolution, and identify challenges that edge
computing … by AI operationalization to enable seamless end-to-end edge intelligence systems. …

… unreliable clients participating in distributed learning, such as … Due to the advantages of edge
computing, we can deploy the … distributed learning framework called EIDLS based on edge …

… of edge computing, explain how it operates and its structure hierarchically with artificial
intelligence … various analyses and opinions regarding edge computing and artificial intelligence. …