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Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge
  Computing

Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

4 October 2019
En Li
Liekang Zeng
Zhi Zhou
Xu Chen
ArXiv (abs)PDFHTML

Papers citing "Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing"

38 / 138 papers shown
Title
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
F. Malandrino
C. Chiasserini
G. di Giacomo
43
7
0
23 Feb 2022
Iterative Activation-based Structured Pruning
Iterative Activation-based Structured Pruning
Kaiqi Zhao
Animesh Jain
Ming Zhao
67
0
0
22 Jan 2022
Network-Aware 5G Edge Computing for Object Detection: Augmenting
  Wearables to "See" More, Farther and Faster
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster
Zhongzheng Yuan
Tommy Azzino
Yu Hao
Yixuan Lyu
Haoyang Pei
...
W. Seiple
Yi Fang
S. Rangan
Yao Wang
John-Ross Rizzo
50
16
0
25 Dec 2021
R2: A Distributed Remote Function Execution Mechanism With Built-in
  Metadata
R2: A Distributed Remote Function Execution Mechanism With Built-in Metadata
Jianpeng Qi
Rui Wang
31
6
0
05 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
99
434
0
24 Nov 2021
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised
  deep learning
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning
Bang Xiang Yong
Alexandra Brintrup
56
7
0
19 Oct 2021
Accelerating Framework of Transformer by Hardware Design and Model
  Compression Co-Optimization
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization
Panjie Qi
E. Sha
Qingfeng Zhuge
Hongwu Peng
Shaoyi Huang
Zhenglun Kong
Yuhong Song
Bingbing Li
91
51
0
19 Oct 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi
Naveen Vedula
J. Pei
Fei Xia
Lanjun Wang
Yong Zhang
79
92
0
30 Aug 2021
Edge-Cloud Collaborated Object Detection via Difficult-Case
  Discriminator
Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator
Zhiqiang Cao
Zhijun Li
Pan Heng
Yongrui Chen
Daqi Xie
Jie Liu
70
13
0
29 Aug 2021
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and
  Dynamic Model Placements on Edge Devices
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices
Piyush Subedi
Jianwei Hao
I. Kim
Lakshmish Ramaswamy
35
19
0
26 Jul 2021
Accelerating Edge Intelligence via Integrated Sensing and Communication
Accelerating Edge Intelligence via Integrated Sensing and Communication
Tong Zhang
Shuai Wang
Guoliang Li
Fan Liu
Guangxu Zhu
Rui Wang
52
35
0
20 Jul 2021
Fine-Grained Data Selection for Improved Energy Efficiency of Federated
  Edge Learning
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
A. Albaseer
M. Abdallah
Ala I. Al-Fuqaha
A. Erbad
76
35
0
20 Jun 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and
  Directions
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis
Alexandros Kouris
Nicholas D. Lane
TPM
115
121
0
09 Jun 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device
Mario Almeida
Stefanos Laskaridis
Stylianos I. Venieris
Ilias Leontiadis
Nicholas D. Lane
75
37
0
20 Apr 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
84
39
0
20 Mar 2021
Dancing along Battery: Enabling Transformer with Run-time
  Reconfigurability on Mobile Devices
Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices
Yuhong Song
Weiwen Jiang
Bingbing Li
Panjie Qi
Qingfeng Zhuge
E. Sha
Sakyasingha Dasgupta
Yiyu Shi
Caiwen Ding
64
18
0
12 Feb 2021
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge
  Intelligence via Online Learning
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
Letian Zhang
Lixing Chen
Jie Xu
71
54
0
02 Feb 2021
Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for
  Data-Driven Base Station Sleep Control
Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control
Qiong Wu
Xu Chen
Zhi Zhou
Liang Chen
Junshan Zhang
63
81
0
21 Jan 2021
Dynamic DNN Decomposition for Lossless Synergistic Inference
Dynamic DNN Decomposition for Lossless Synergistic Inference
Beibei Zhang
Tian Xiang
Hongxuan Zhang
Te Li
Shiqiang Zhu
Jianjun Gu
52
14
0
15 Jan 2021
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with
  Heterogeneous Learning Tasks
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
Shanfeng Huang
Shuai Wang
Rui Wang
Miaowen Wen
Kaibin Huang
73
57
0
25 Dec 2020
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning
  over Heterogeneous Edge Devices
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
Liekang Zeng
Xu Chen
Zhi Zhou
Lei Yang
Junshan Zhang
107
212
0
06 Dec 2020
Evaluation of Inference Attack Models for Deep Learning on Medical Data
Evaluation of Inference Attack Models for Deep Learning on Medical Data
Maoqiang Wu
Xinyue Zhang
Jiahao Ding
H. Nguyen
Rong Yu
Miao Pan
Stephen T. C. Wong
MIACV
47
18
0
31 Oct 2020
Calibration-Aided Edge Inference Offloading via Adaptive Model
  Partitioning of Deep Neural Networks
Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks
R. G. Pacheco
R. S. Couto
Osvaldo Simeone
52
25
0
30 Oct 2020
When Deep Reinforcement Learning Meets Federated Learning: Intelligent
  Multi-Timescale Resource Management for Multi-access Edge Computing in 5G
  Ultra Dense Network
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network
Shuai Yu
Xu Chen
Zhi Zhou
Xiaowen Gong
Di Wu
70
218
0
22 Sep 2020
Binarized Neural Architecture Search for Efficient Object Recognition
Binarized Neural Architecture Search for Efficient Object Recognition
Hanlin Chen
Lian Zhuo
Baochang Zhang
Xiawu Zheng
Jianzhuang Liu
Rongrong Ji
David Doermann
G. Guo
MQ
47
18
0
08 Sep 2020
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and
  Sample Size Planning
Edge Learning with Unmanned Ground Vehicle: Joint Path, Energy and Sample Size Planning
Dan Liu
Shuai Wang
Z. Wen
Lei Cheng
Miaowen Wen
Yik-Chung Wu
55
10
0
07 Sep 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device
  and Cloud
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Stefanos Laskaridis
Stylianos I. Venieris
Mario Almeida
Ilias Leontiadis
Nicholas D. Lane
99
275
0
14 Aug 2020
BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based
  Quantized DNNs
BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs
Yongkweon Jeon
Baeseong Park
S. Kwon
Byeongwook Kim
Jeongin Yun
Dongsoo Lee
MQ
63
31
0
20 May 2020
Inference Time Optimization Using BranchyNet Partitioning
Inference Time Optimization Using BranchyNet Partitioning
R. G. Pacheco
R. S. Couto
47
28
0
01 May 2020
Communication-Efficient Edge AI Inference Over Wireless Networks
Communication-Efficient Edge AI Inference Over Wireless Networks
Kai Yang
Yong Zhou
Zhanpeng Yang
Yuanming Shi
GNN
13
3
0
28 Apr 2020
pAElla: Edge-AI based Real-Time Malware Detection in Data Centers
pAElla: Edge-AI based Real-Time Malware Detection in Data Centers
Antonio Libri
Andrea Bartolini
Luca Benini
44
25
0
07 Apr 2020
HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in
  Mobile-Edge-Cloud Computing
HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing
Deyin Liu
Xu Chen
Zhi Zhou
Qing Ling
95
46
0
22 Mar 2020
DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content
  Placement in Closed Social Network
DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network
Qiong Wu
Muhong Wu
Xu Chen
Zhi Zhou
Kaiwen He
Liang Chen
27
5
0
09 Mar 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient
  Hierarchical Federated Edge Learning
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning
Siqi Luo
Xu Chen
Qiong Wu
Zhi Zhou
Shuai Yu
FedML
130
346
0
26 Feb 2020
Personalized Federated Learning for Intelligent IoT Applications: A
  Cloud-Edge based Framework
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework
Qiong Wu
Kaiwen He
Xu Chen
83
287
0
25 Feb 2020
Sparse Optimization for Green Edge AI Inference
Sparse Optimization for Green Edge AI Inference
Xiangyu Yang
Sheng Hua
Yuanming Shi
Hao Wang
Jun Zhang
Khaled B. Letaief
63
14
0
24 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
99
334
0
22 Feb 2020
Energy-Efficient Processing and Robust Wireless Cooperative Transmission
  for Edge Inference
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference
Kai Yang
Yuanming Shi
Wei Yu
Z. Ding
46
42
0
29 Jul 2019
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