ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1901.02537
  4. Cited By
Collaborative Execution of Deep Neural Networks on Internet of Things
  Devices

Collaborative Execution of Deep Neural Networks on Internet of Things Devices

8 January 2019
Ramyad Hadidi
Jiashen Cao
Michael S. Ryoo
Hyesoon Kim
ArXiv (abs)PDFHTML

Papers citing "Collaborative Execution of Deep Neural Networks on Internet of Things Devices"

12 / 12 papers shown
Title
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT
  Devices
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices
Ramyad Hadidi
Jiashen Cao
M. Woodward
Michael S. Ryoo
Hyesoon Kim
48
34
0
05 Feb 2018
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep
  Neural Networks
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Koster
T. Webb
Xin Eric Wang
Marcel Nassar
Arjun K. Bansal
...
Luke Hornof
A. Khosrowshahi
Carey Kloss
Ruby J. Pai
N. Rao
MQ
47
262
0
06 Nov 2017
Distributed Deep Neural Networks over the Cloud, the Edge and End
  Devices
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
FedML
78
717
0
06 Sep 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.4K
14,608
0
07 Oct 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
175
4,369
0
16 Mar 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
202
1,348
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,416
0
02 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,859
0
01 Oct 2015
Compressing Deep Convolutional Networks using Vector Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
174
1,171
0
18 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
Internet of Things (IoT): A Vision, Architectural Elements, and Future
  Directions
Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions
J. Gubbi
Rajkumar Buyya
S. Marusic
M. Palaniswami
127
10,912
0
01 Jul 2012
1