Abstract
The papers in this special section focus on efficient network design for the convergence of deep learning and edge computing. Considering the istribution and heterogeneity of edge computing system, it brings great challenges to the design of efficient neural networks for edge computing. The current network design less considers the scenarios and frameworks where the model is to be deployed, and do not regard the design of efficient models for edge computing systems as specific research topics. Therefore, the efficient deep neural network design should be deeply investigated on edge computing scenarios.