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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
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
18
6
0
05 Dec 2021
An Optimization Framework for Federated Edge Learning
An Optimization Framework for Federated Edge Learning
Yangchen Li
Ying Cui
Vincent K. N. Lau
FedML
19
7
0
26 Nov 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
45
417
0
24 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Fei Wu
Jingren Zhou
Hongxia Yang
24
91
0
11 Nov 2021
QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced
  Industry 4.0
QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0
Kevin Wallis
C. Reich
Blesson Varghese
C. Schindelhauer
13
0
0
09 Nov 2021
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly
  Detection on Sensor Data Streams in Meshed Edge Networks
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks
Soeren Becker
Florian Schmidt
L. Thamsen
A. J. Ferrer
O. Kao
37
6
0
27 Sep 2021
Remote Multilinear Compressive Learning with Adaptive Compression
Remote Multilinear Compressive Learning with Adaptive Compression
D. Tran
Moncef Gabbouj
Alexandros Iosifidis
6
2
0
02 Sep 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Anuj Dubey
Rosario Cammarota
Vikram B. Suresh
Aydin Aysu
AAML
33
31
0
01 Sep 2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference
Task-Oriented Communication for Multi-Device Cooperative Edge Inference
Jiawei Shao
Yuyi Mao
Jun Zhang
24
128
0
01 Sep 2021
Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading
  in Mobile Edge Networks
Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading in Mobile Edge Networks
Minghui Liwang
Ruitao Chen
Xianbin Wang
Xuemin
X. Shen
9
21
0
16 Aug 2021
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
Sheng Yue
Ju Ren
Jiang Xin
Deyu Zhang
Yaoxue Zhang
W. Zhuang
31
38
0
14 Aug 2021
perf4sight: A toolflow to model CNN training performance on Edge GPUs
perf4sight: A toolflow to model CNN training performance on Edge GPUs
A. Rajagopal
C. Bouganis
26
7
0
12 Aug 2021
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge
  Domain Adaptation on FPGAs
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs
Hiroki Kawakami
Hirohisa Watanabe
Keisuke Sugiura
Hiroki Matsutani
11
4
0
27 Jul 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
17
17
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-cang Wang
23
34
0
20 Jul 2021
Relay-Assisted Cooperative Federated Learning
Relay-Assisted Cooperative Federated Learning
Zehong Lin
Hang Liu
Y. Zhang
24
42
0
20 Jul 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Di Wu
R. Ullah
P. Harvey
Peter Kilpatrick
I. Spence
Blesson Varghese
42
79
0
09 Jul 2021
Management of Resource at the Network Edge for Federated Learning
Management of Resource at the Network Edge for Federated Learning
Silvana Trindade
L. Bittencourt
N. Fonseca
22
6
0
07 Jul 2021
Ascent Similarity Caching with Approximate Indexes
Ascent Similarity Caching with Approximate Indexes
T. Si Salem
Giovanni Neglia
D. Carra
20
7
0
02 Jul 2021
NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs
NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs
A. Majeed
Peter Kilpatrick
I. Spence
Blesson Varghese
11
2
0
29 Jun 2021
A Construction Kit for Efficient Low Power Neural Network Accelerator
  Designs
A Construction Kit for Efficient Low Power Neural Network Accelerator Designs
Petar Jokic
E. Azarkhish
Andrea Bonetti
M. Pons
S. Emery
Luca Benini
21
3
0
24 Jun 2021
Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons
  with Heterogeneous Dynamic Synapses
Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapses
Mattias Nilsson
F. Liwicki
Fredrik Sandin
23
2
0
10 Jun 2021
Multi-Exit Semantic Segmentation Networks
Multi-Exit Semantic Segmentation Networks
Alexandros Kouris
Stylianos I. Venieris
Stefanos Laskaridis
Nicholas D. Lane
20
30
0
07 Jun 2021
Optimal Model Placement and Online Model Splitting for Device-Edge
  Co-Inference
Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference
Jiahe Yan
Suzhi Bi
Y. Zhang
19
38
0
28 May 2021
The Trusted Edge
The Trusted Edge
Christian Meurisch
17
0
0
28 May 2021
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance
  Systems: Design and Optimization
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
Mohammed Jouhari
A. Al-Ali
Emna Baccour
Amr M. Mohamed
A. Erbad
Mohsen Guizani
Mounir Hamdi
22
41
0
23 May 2021
ScissionLite: Accelerating Distributed Deep Neural Networks Using
  Transfer Layer
ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer
Hyunho Ahn
Munkyu Lee
Cheol-Ho Hong
Blesson Varghese
20
5
0
05 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
30
87
0
04 May 2021
Towards Automatic Model Specialization for Edge Video Analytics
Towards Automatic Model Specialization for Edge Video Analytics
Daniel Rivas-Barragan
F. Guim
Jordà Polo
P. M. Silva
J. L. Berral
D. Carrera
11
10
0
14 Apr 2021
Creating Robust Deep Neural Networks With Coded Distributed Computing
  for IoT Systems
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
Ramyad Hadidi
Jiashen Cao
Hyesoon Kim
23
0
0
09 Apr 2021
Efficient Personalized Speech Enhancement through Self-Supervised
  Learning
Efficient Personalized Speech Enhancement through Self-Supervised Learning
Aswin Sivaraman
Minje Kim
26
19
0
05 Apr 2021
Enabling Design Methodologies and Future Trends for Edge AI:
  Specialization and Co-design
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design
Cong Hao
Jordan Dotzel
Jinjun Xiong
Luca Benini
Zhiru Zhang
Deming Chen
58
34
0
25 Mar 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
21
38
0
20 Mar 2021
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G
  Latency Sensitive Services
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services
Sergio Martiradonna
A. Abrardo
M. Moretti
G. Piro
G. Boggia
22
0
0
18 Mar 2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between
  Convergence and Power Transfer
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer
Qunsong Zeng
Yuqing Du
Kaibin Huang
37
35
0
24 Feb 2021
Reduced-Order Neural Network Synthesis with Robustness Guarantees
Reduced-Order Neural Network Synthesis with Robustness Guarantees
R. Drummond
M. Turner
S. Duncan
27
9
0
18 Feb 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms
  and Convergence Analysis
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing
Osvaldo Simeone
Suzhi Bi
47
94
0
29 Jan 2021
Continual Learning of Generative Models with Limited Data: From
  Wasserstein-1 Barycenter to Adaptive Coalescence
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
M. Dedeoglu
Sen Lin
Zhaofeng Zhang
Junshan Zhang
19
1
0
22 Jan 2021
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks
  for Internet of Vehicles
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles
Shuai Yu
Xiaowen Gong
Qian Shi
Xiaofei Wang
Xu Chen
26
127
0
15 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
14
14
0
15 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey
Fusion of Federated Learning and Industrial Internet of Things: A Survey
S. Priya
Praveen Kumar
Viet Quoc Pham
K. Dev
Reddy Maddikunta
Thippa Reddy
Thien Huynh-The
AI4CE
33
195
0
04 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-cang Wang
Miaowen Wen
Kaibin Huang
14
56
0
25 Dec 2020
A Fast Edge-Based Synchronizer for Tasks in Real-Time Artificial
  Intelligence Applications
A Fast Edge-Based Synchronizer for Tasks in Real-Time Artificial Intelligence Applications
R. Olaniyan
Muthucumaru Maheswaran
19
1
0
21 Dec 2020
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge
  Learning
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
Sheng Yue
Ju Ren
Jiang Xin
Sen Lin
Junshan Zhang
FedML
27
44
0
16 Dec 2020
DONE: Distributed Approximate Newton-type Method for Federated Edge
  Learning
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning
Canh T. Dinh
N. H. Tran
Tuan Dung Nguyen
Wei Bao
A. R. Balef
B. Zhou
Albert Y. Zomaya
FedML
26
15
0
10 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
44
202
0
06 Dec 2020
Robust error bounds for quantised and pruned neural networks
Robust error bounds for quantised and pruned neural networks
Jiaqi Li
R. Drummond
S. Duncan
17
4
0
30 Nov 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
52
116
0
25 Nov 2020
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented
  Communications
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
Emilio Calvanese Strinati
Sergio Barbarossa
28
386
0
04 Nov 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning
  with Fairness Guarantee
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Tiansheng Huang
Weiwei Lin
Wentai Wu
Ligang He
Keqin Li
Albert Y. Zomaya
FedML
36
222
0
03 Nov 2020
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