Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy

20 June 2018

Xu Chen

Papers citing "Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy"

20 / 70 papers shown

Title
Inference Time Optimization Using BranchyNet Partitioning R. G. Pacheco R. S. Couto 7 27 0 01 May 2020
Enhanced Self-Perception in Mixed Reality: Egocentric Arm Segmentation and Database with Automatic Labelling Ester González-Sosa Pablo Pérez Ruben Tolosana R. Kachach Á. Villegas EgoV 22 15 0 27 Mar 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 53 29 0 26 Mar 2020
HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing Deyin Liu Xu Chen Zhi Zhou Qing Ling 40 46 0 22 Mar 2020
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors Jie Liu Jiawen Liu Zhen Xie Dong Li 27 5 0 03 Mar 2020
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing Yu Zhang Tao Gu Xi Zhang FedML 22 21 0 07 Feb 2020
Acoustic Scene Analysis using Analog Spiking Neural Network Anand Kumar Mukhopadhyay Moses Prabhakar Naligala Divya Lakshmi Duggisetty I. Chakrabarti M. Sharad 13 1 0 23 Dec 2019
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices Delia Velasco-Montero Jorge Fernández-Berni R. Carmona-Galán Á. Rodríguez-Vázquez 30 21 0 13 Dec 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 12 616 0 04 Oct 2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead A. Masullo Ligang He Toby Perrett Rui Mao Carsten Maple Majid Mirmehdi 25 301 0 03 Oct 2019
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud Ashkan Yousefpour Siddartha Devic Brian Q. Nguyen Aboudy Kreidieh Alan Liao Alexandre M. Bayen J. Jue FedML GNN 18 23 0 03 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 74 606 0 02 Sep 2019
Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge H. F. Langroudi Zachariah Carmichael David Pastuch Dhireesha Kudithipudi 22 24 0 06 Aug 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 38 378 0 31 Jul 2019
Deep Learning Training on the Edge with Low-Precision Posits H. F. Langroudi Zachariah Carmichael Dhireesha Kudithipudi MQ 21 14 0 30 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 22 978 0 19 Jul 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 44 1,421 0 24 May 2019
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning Wenqi Shi Yunzhong Hou Sheng Zhou Z. Niu Yang Zhang Lu Geng 19 83 0 08 Mar 2019
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning Xiaofei Wang Yiwen Han Chenyang Wang Qiyang Zhao Xu Chen Min Chen 11 798 0 19 Sep 2018
Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing Ouyang Tao Zhi Zhou Xu Chen 8 384 0 14 Sep 2018