CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning
over Heterogeneous Edge Devices

CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices

6 December 2020

Xu Chen

Papers citing "CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices"

15 / 15 papers shown

Title
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables Taesik Gong S. Jang Utku Günay Acer F. Kawsar Chulhong Min 55 2 0 11 Dec 2023
Computation-Communication Trade-offs and Sensor Selection in Real-time Estimation for Processing Networks Luca Ballotta Luca Schenato Luca Carlone 54 14 0 13 Nov 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 24 619 0 04 Oct 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 72 1,425 0 24 May 2019
Network Offloading Policies for Cloud Robotics: a Learning-based Approach Sandeep P. Chinchali Apoorva Sharma James Harrison Amine Elhafsi Daniel Kang Evgenya Pergament Eyal Cidon Sachin Katti Marco Pavone OffRL 21 105 0 15 Feb 2019
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices Shuochao Yao Yiran Zhao Huajie Shao Shengzhong Liu Dongxin Liu Lu Su Tarek Abdelzaher HAI 28 132 0 19 Sep 2018
Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing Ouyang Tao Zhi Zhou Xu Chen 30 384 0 14 Sep 2018
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices Surat Teerapittayanon Bradley McDanel H. T. Kung FedML 49 713 0 06 Sep 2017
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 976 20,692 0 17 Apr 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 73 3,002 0 27 Mar 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 680 192,638 0 10 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 126 8,793 0 01 Oct 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 151 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 401 99,991 0 04 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 155 6,257 0 16 Dec 2013