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Edge Intelligence: Paving the Last Mile of Artificial Intelligence with
  Edge Computing

Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing

24 May 2019
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
ArXivPDFHTML

Papers citing "Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing"

50 / 253 papers shown
Title
An edge-based architecture to support the execution of ambience
  intelligence tasks using the IoP paradigm
An edge-based architecture to support the execution of ambience intelligence tasks using the IoP paradigm
Khaled Alanezi
Shivakant Mishra
13
4
0
31 Oct 2020
Learning Centric Wireless Resource Allocation for Edge Computing:
  Algorithm and Experiment
Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment
Liangkai Zhou
Yuncong Hong
Shuai Wang
Ruihua Han
Dachuan Li
Rui-cang Wang
Qi Hao
6
21
0
29 Oct 2020
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From
  Communications to Sensing and Intelligence
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
Qingqing Wu
Jie Xu
Yong Zeng
Derrick Wing Kwan Ng
N. Al-Dhahir
R. Schober
A. L. Swindlehurst
40
352
0
19 Oct 2020
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in
  Space-Air-Ground Integrated Network
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network
Conghao Zhou
Wen Wu
Hongli He
Peng Yang
Feng Lyu
Nan Cheng
Xuemin Shen
Shen
22
48
0
04 Oct 2020
Towards Self-learning Edge Intelligence in 6G
Towards Self-learning Edge Intelligence in 6G
Yong Xiao
Guangming Shi
Yingyu Li
Walid Saad
H. Vincent Poor
36
94
0
01 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
19
214
0
22 Sep 2020
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile
  Devices
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices
A. Trusov
E. Limonova
Dmitry Slugin
D. Nikolaev
V. Arlazarov
MQ
25
17
0
14 Sep 2020
Wireless for Machine Learning
Wireless for Machine Learning
Henrik Hellström
J. M. B. D. Silva
Mohammad Mohammadi Amiri
Mingzhe Chen
Viktoria Fodor
H. Vincent Poor
Carlo Fischione
22
18
0
31 Aug 2020
SEEC: Semantic Vector Federation across Edge Computing Environments
SEEC: Semantic Vector Federation across Edge Computing Environments
Shalisha Witherspoon
Dean Steuer
Graham A. Bent
N. Desai
FedML
25
2
0
30 Aug 2020
Scalable and Communication-efficient Decentralized Federated Edge
  Learning with Multi-blockchain Framework
Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework
Jiawen Kang
Zehui Xiong
Chunxiao Jiang
Yi Liu
Song Guo
Yang Zhang
Dusit Niyato
Cyril Leung
Chunyan Miao
FedML
38
40
0
10 Aug 2020
Scission: Performance-driven and Context-aware Cloud-Edge Distribution
  of Deep Neural Networks
Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks
Luke Lockhart
P. Harvey
Pierre Imai
P. Willis
Blesson Varghese
30
4
0
08 Aug 2020
A Case For Adaptive Deep Neural Networks in Edge Computing
A Case For Adaptive Deep Neural Networks in Edge Computing
Francis McNamee
Schahram Dustdar
Peter Kilpatrick
Weisong Shi
I. Spence
Blesson Varghese
15
8
0
04 Aug 2020
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge
  AI
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI
Lei Yang
Yanyan Lu
Jiannong Cao
Jiaming Huang
Mingjin Zhang
30
20
0
04 Aug 2020
State-of-the-art Techniques in Deep Edge Intelligence
State-of-the-art Techniques in Deep Edge Intelligence
Ahnaf Hannan Lodhi
Barış Akgün
Öznur Özkasap
39
5
0
03 Aug 2020
A Review on Computational Intelligence Techniques in Cloud and Edge
  Computing
A Review on Computational Intelligence Techniques in Cloud and Edge Computing
M. Asim
Yong Wang
Kezhi Wang
Pei-qiu Huang
25
72
0
27 Jul 2020
Proactive Tasks Management based on a Deep Learning Model
Proactive Tasks Management based on a Deep Learning Model
Kostas Kolomvatsos
Christos Anagnostopoulos
19
0
0
25 Jul 2020
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V
  Extreme-Edge Node
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node
Leonardo Ravaglia
Manuele Rusci
Alessandro Capotondi
Francesco Conti
Lorenzo Pellegrini
Vincenzo Lomonaco
Davide Maltoni
Luca Benini
10
11
0
22 Jul 2020
Learning Centric Power Allocation for Edge Intelligence
Learning Centric Power Allocation for Edge Intelligence
Shuai Wang
Rui-cang Wang
Qi Hao
Yik-Chung Wu
H. Vincent Poor
17
9
0
21 Jul 2020
Joint Multi-User DNN Partitioning and Computational Resource Allocation
  for Collaborative Edge Intelligence
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence
Xin Tang
Xu Chen
Liekang Zeng
Shuai Yu
Lin Chen
8
91
0
15 Jul 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained
  Wireless Federated Learning
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
Wenqi Shi
Sheng Zhou
Z. Niu
Miao Jiang
Lu Geng
28
292
0
14 Jul 2020
An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D
  Reconstruction
An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction
Shuai Yu
Xu Chen
Shuai Wang
Lingjun Pu
Di Wu
24
20
0
03 Jul 2020
Fully-parallel Convolutional Neural Network Hardware
Fully-parallel Convolutional Neural Network Hardware
Christiam F. Frasser
Pablo Linares-Serrano
V. Canals
M. Roca
T. Serrano-Gotarredona
J. Rosselló
6
1
0
22 Jun 2020
Leveraging the Power of Prediction: Predictive Service Placement for
  Latency-Sensitive Mobile Edge Computing
Leveraging the Power of Prediction: Predictive Service Placement for Latency-Sensitive Mobile Edge Computing
Huirong Ma
Zhi Zhou
Xu Chen
15
50
0
17 Jun 2020
Now that I can see, I can improve: Enabling data-driven finetuning of
  CNNs on the edge
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge
A. Rajagopal
C. Bouganis
11
5
0
15 Jun 2020
Model-Size Reduction for Reservoir Computing by Concatenating Internal
  States Through Time
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time
Yusuke Sakemi
K. Morino
T. Leleu
Kazuyuki Aihara
26
20
0
11 Jun 2020
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for
  Enabling Ubiquitous Intelligent Mobiles
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles
Sicong Liu
Junzhao Du
Kaiming Nan
Zimu Zhou
Zhangyang Wang
Yingyan Lin
32
30
0
08 Jun 2020
Communication-Computation Trade-Off in Resource-Constrained Edge
  Inference
Communication-Computation Trade-Off in Resource-Constrained Edge Inference
Jiawei Shao
Jun Zhang
14
113
0
03 Jun 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
33
30
0
20 May 2020
CDC: Classification Driven Compression for Bandwidth Efficient
  Edge-Cloud Collaborative Deep Learning
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
Yuanrui Dong
Peng Zhao
Hanqiao Yu
Cong Zhao
Shusen Yang
31
19
0
04 May 2020
6G White Paper on Edge Intelligence
6G White Paper on Edge Intelligence
Ella Peltonen
M. Bennis
M. Capobianco
Merouane Debbah
Aaron Yi Ding
...
S. Samarakoon
K. Seppänen
Paweł Sroka
Sasu Tarkoma
Tingting Yang
24
137
0
30 Apr 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
6
3
0
28 Apr 2020
Why should we add early exits to neural networks?
Why should we add early exits to neural networks?
Simone Scardapane
M. Scarpiniti
E. Baccarelli
A. Uncini
16
117
0
27 Apr 2020
Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in
  IIoT
Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT
Besher Alhalabi
M. Gaber
S. Basurra
13
1
0
09 Apr 2020
Knowledge Distillation for Mobile Edge Computation Offloading
Knowledge Distillation for Mobile Edge Computation Offloading
Haowei Chen
Liekang Zeng
Shuai Yu
Xu Chen
OffRL
8
6
0
09 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
14
24
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
40
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
15
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
33
339
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
29
282
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
19
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
29
327
0
22 Feb 2020
Performance Analysis and Comparison of Machine and Deep Learning
  Algorithms for IoT Data Classification
Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification
Meysam Vakili
M. Ghamsari
M. Rezaei
22
96
0
27 Jan 2020
Scientific Image Restoration Anywhere
Scientific Image Restoration Anywhere
V. Abeykoon
Zhengchun Liu
R. Kettimuthu
Geoffrey C. Fox
Ian Foster
27
19
0
12 Nov 2019
Machine Intelligence at the Edge with Learning Centric Power Allocation
Machine Intelligence at the Edge with Learning Centric Power Allocation
Shuai Wang
Yik-Chung Wu
Minghua Xia
Rui-cang Wang
H. Vincent Poor
35
66
0
12 Nov 2019
An Overview of Data-Importance Aware Radio Resource Management for Edge
  Machine Learning
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning
Dingzhu Wen
Xiaoyang Li
Qunsong Zeng
Jinke Ren
Kaibin Huang
16
24
0
10 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
28
141
0
02 Nov 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge
  Computing
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
En Li
Liekang Zeng
Zhi Zhou
Xu Chen
12
616
0
04 Oct 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
74
606
0
02 Sep 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
38
378
0
31 Jul 2019
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
16
42
0
29 Jul 2019
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