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DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems
  with a Compressor-Critic Framework

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

5 June 2017
Shuochao Yao
Yiran Zhao
Aston Zhang
Lu Su
Tarek Abdelzaher
ArXivPDFHTML

Papers citing "DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework"

25 / 25 papers shown
Title
Efficient Multitask Learning on Resource-Constrained Systems
Efficient Multitask Learning on Resource-Constrained Systems
Yubo Luo
Le Zhang
Zhenyu Wang
S. Nirjon
17
9
0
25 Feb 2023
Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning
  Applications on Edge
Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge
S. Zobaed
Ali Mokhtari
J. Champati
M. Kourouma
M. Salehi
21
9
0
14 Nov 2022
Designing and Training of Lightweight Neural Networks on Edge Devices
  using Early Halting in Knowledge Distillation
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation
Rahul Mishra
Hari Prabhat Gupta
45
8
0
30 Sep 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning
A Review of the Convergence of 5G/6G Architecture and Deep Learning
O. Odeyomi
Olubiyi O. Akintade
T. Olowu
G. Záruba
AILaw
3DV
AI4TS
28
1
0
16 Aug 2022
Distributed Training for Deep Learning Models On An Edge Computing
  Network Using ShieldedReinforcement Learning
Distributed Training for Deep Learning Models On An Edge Computing Network Using ShieldedReinforcement Learning
Tanmoy Sen
Haiying Shen
OffRL
21
5
0
01 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
37
119
0
29 May 2022
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for
  Constrained Devices
FCN-Pose: A Pruned and Quantized CNN for Robot Pose Estimation for Constrained Devices
M. Dantas
I. R. R. Silva
A. T. O. Filho
Gibson B. N. Barbosa
Daniel Bezerra
D. Sadok
J. Kelner
M. Marquezini
Ricardo F. D. Silva
19
1
0
26 May 2022
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for
  Mobile Object Detection
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection
Davide Callegaro
Francesco Restuccia
Marco Levorato
29
3
0
11 Jan 2022
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural
  Networks
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks
Nesma M. Rezk
Tomas Nordstrom
D. Stathis
Z. Ul-Abdin
E. Aksoy
A. Hemani
MQ
30
1
0
02 Aug 2021
Compacting Deep Neural Networks for Internet of Things: Methods and
  Applications
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
Ke Zhang
Hanbo Ying
Hongning Dai
Lin Li
Yuangyuang Peng
Keyi Guo
Hongfang Yu
28
38
0
20 Mar 2021
On Lightweight Privacy-Preserving Collaborative Learning for Internet of
  Things by Independent Random Projections
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections
Linshan Jiang
Rui Tan
Xin Lou
Guosheng Lin
24
12
0
11 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models
Robustness and Transferability of Universal Attacks on Compressed Models
Alberto G. Matachana
Kenneth T. Co
Luis Muñoz-González
David Martínez
Emil C. Lupu
AAML
29
10
0
10 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
57
117
0
25 Nov 2020
Scheduling Real-time Deep Learning Services as Imprecise Computations
Scheduling Real-time Deep Learning Services as Imprecise Computations
Shuochao Yao
Yifan Hao
Yiran Zhao
Huajie Shao
Dongxin Liu
Shengzhong Liu
Tianshi Wang
Jinyang Li
Tarek Abdelzaher
28
35
0
02 Nov 2020
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning
  with Applications in MIMO-based Grant-Free Random Access
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning with Applications in MIMO-based Grant-Free Random Access
Ying Cui
Shuaichao Li
Wanqing Zhang
24
62
0
05 Aug 2020
Model Pruning Enables Efficient Federated Learning on Edge Devices
Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang
Shiqiang Wang
Victor Valls
Bongjun Ko
Wei-Han Lee
Kin K. Leung
Leandros Tassiulas
38
447
0
26 Sep 2019
Distilling Knowledge From a Deep Pose Regressor Network
Distilling Knowledge From a Deep Pose Regressor Network
Muhamad Risqi U. Saputra
Pedro Porto Buarque de Gusmão
Yasin Almalioglu
Andrew Markham
A. Trigoni
25
102
0
02 Aug 2019
Machine Learning at the Network Edge: A Survey
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
40
378
0
31 Jul 2019
Recurrent Neural Networks: An Embedded Computing Perspective
Recurrent Neural Networks: An Embedded Computing Perspective
Nesma M. Rezk
M. Purnaprajna
Tomas Nordstrom
Z. Ul-Abdin
48
81
0
23 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Xiaofei Wang
Yiwen Han
Victor C. M. Leung
Dusit Niyato
Xueqiang Yan
Xu Chen
24
978
0
19 Jul 2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective
  with Short-Time Fourier Neural Networks
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks
Shuochao Yao
Ailing Piao
Wenjun Jiang
Yiran Zhao
Huajie Shao
...
Tianshi Wang
Shaohan Hu
Lu Su
Jiawei Han
Tarek Abdelzaher
AI4TS
38
78
0
21 Feb 2019
On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects
On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects
Linshan Jiang
Rui Tan
Xin Lou
Guosheng Lin
16
45
0
13 Feb 2019
DeepCache: Principled Cache for Mobile Deep Vision
DeepCache: Principled Cache for Mobile Deep Vision
Mengwei Xu
Mengze Zhu
Yunxin Liu
F. Lin
Xuanzhe Liu
VLM
42
201
0
01 Dec 2017
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty
  Estimations
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations
Shuochao Yao
Yiran Zhao
Huajie Shao
Aston Zhang
Chao Zhang
Shen Li
Tarek Abdelzaher
UQCV
HAI
48
37
0
09 Sep 2017
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
213
745
0
06 Jun 2015
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