AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative
Architecture for DNN Inference

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference

10 May 2021

Yu Li

Papers citing "AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference"

6 / 6 papers shown

Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey Jing Liu Yao Du Kun Yang Yan Wang Xiping Hu Zehua Wang Yang Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 43 0 0 03 May 2025
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices Di Xu Xiang He Tonghua Su Zhongjie Wang 19 6 0 20 Apr 2023
EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization Guanyu Gao Yuqian Dong Ran A. Wang Xin Zhou 11 8 0 06 Nov 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off Hokchhay Tann S. Hashemi R. I. Bahar Sherief Reda 29 72 0 19 Jul 2016