DynaComm: Accelerating Distributed CNN Training between Edges and Clouds
through Dynamic Communication Scheduling

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DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling

20 January 2021

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Papers citing "DynaComm: Accelerating Distributed CNN Training between Edges and Clouds through Dynamic Communication Scheduling"

18 / 18 papers shown

Title
Security and Privacy for Mobile Edge Caching: Challenges and Solutions Jianbing Ni Kuan Zhang A. Vasilakos 56 63 0 06 Dec 2020
Ansor: Generating High-Performance Tensor Programs for Deep Learning Lianmin Zheng Chengfan Jia Minmin Sun Zhao Wu Cody Hao Yu ... Jun Yang Danyang Zhuo Koushik Sen Joseph E. Gonzalez Ion Stoica 144 402 0 11 Jun 2020
HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing Deyin Liu Xu Chen Zhi Zhou Qing Ling 74 46 0 22 Mar 2020
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models Yao Deng Xi Zheng Tianyi Zhang Chen Chen Guannan Lou Miryung Kim AAML 43 143 0 06 Feb 2020
Priority-based Parameter Propagation for Distributed DNN Training Anand Jayarajan Jinliang Wei Garth A. Gibson Alexandra Fedorova Gennady Pekhimenko AI4CE 55 181 0 10 May 2019
TicTac: Accelerating Distributed Deep Learning with Communication Scheduling Sayed Hadi Hashemi Sangeetha Abdu Jyothi R. Campbell 44 198 0 08 Mar 2018
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services Amir Erfan Eshratifar M. Abrishami Massoud Pedram FedML 78 254 0 25 Jan 2018
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training Chia-Yu Chen Jungwook Choi D. Brand A. Agrawal Wei Zhang K. Gopalakrishnan ODL 52 174 0 07 Dec 2017
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 148 1,409 0 05 Dec 2017
Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni Jialei Wang Ji Liu Tong Zhang 95 528 0 26 Oct 2017
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters Huatian Zhang Zeyu Zheng Shizhen Xu Wei-Ming Dai Qirong Ho Xiaodan Liang Zhiting Hu Jinliang Wei P. Xie Eric Xing GNN 67 347 0 11 Jun 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning W. Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 163 990 0 22 May 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 381 14,263 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 200 2,248 0 03 Dec 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 491 43,694 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014

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