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Bringing AI To Edge: From Deep Learning's Perspective

Bringing AI To Edge: From Deep Learning's Perspective

25 November 2020
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
ArXivPDFHTML

Papers citing "Bringing AI To Edge: From Deep Learning's Perspective"

28 / 28 papers shown
Title
TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identification
TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identification
Kaicong Huang
Talha Azfar
Jack Reilly
Ruimin Ke
20
0
0
15 Apr 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Liekang Zeng
Shengyuan Ye
Xu Chen
Xiaoxi Zhang
Ju Ren
Jian Tang
Yang Yang
Xuemin
Shen
52
2
0
08 Jan 2025
Bridging the Resource Gap: Deploying Advanced Imitation Learning Models onto Affordable Embedded Platforms
Haizhou Ge
Ruixiang Wang
Zhu-ang Xu
Hongrui Zhu
Ruichen Deng
Yuhang Dong
Zeyu Pang
Guyue Zhou
Junyu Zhang
Lu Shi
68
1
0
18 Nov 2024
Efficient Deep Learning Infrastructures for Embedded Computing Systems:
  A Comprehensive Survey and Future Envision
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision
Xiangzhong Luo
Di Liu
Hao Kong
Shuo Huai
Hui Chen
Guochu Xiong
Weichen Liu
26
2
0
03 Nov 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
34
1
0
02 Sep 2024
How Lightweight Can A Vision Transformer Be
How Lightweight Can A Vision Transformer Be
Jen Hong Tan
ViT
MoE
57
0
0
25 Jul 2024
Edge AI: A Taxonomy, Systematic Review and Future Directions
Edge AI: A Taxonomy, Systematic Review and Future Directions
S. Gill
Muhammed Golec
Jianmin Hu
Minxian Xu
Junhui Du
...
Kejiang Ye
Prabal Verma
Surendra Kumar
Félix Cuadrado
Steve Uhlig
35
20
0
04 Jul 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Emad Fallahzadeh
Bram Adams
Ahmed E. Hassan
MQ
32
3
0
25 Mar 2024
Multi-Tier Computing-Enabled Digital Twin in 6G Networks
Multi-Tier Computing-Enabled Digital Twin in 6G Networks
Kunlun Wang
Yongyi Tang
T. Duong
Saeed R. Khosravirad
O. Dobre
G. Karagiannidis
AI4CE
16
2
0
28 Dec 2023
Green Edge AI: A Contemporary Survey
Green Edge AI: A Contemporary Survey
Yuyi Mao
X. Yu
Kaibin Huang
Ying-Jun Angela Zhang
Jun Zhang
26
16
0
01 Dec 2023
A Dynamic Distributed Scheduler for Computing on the Edge
A Dynamic Distributed Scheduler for Computing on the Edge
Fei Hu
K. Mehta
Shivakant Mishra
M. AlMutawa
8
2
0
13 Aug 2023
PLiNIO: A User-Friendly Library of Gradient-based Methods for
  Complexity-aware DNN Optimization
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
Daniele Jahier Pagliari
Matteo Risso
Beatrice Alessandra Motetti
Alessio Burrello
16
8
0
18 Jul 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by
  Model Quantization
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
Yulong Yang
Chenhao Lin
Qian Li
Zhengyu Zhao
Haoran Fan
Dawei Zhou
Nannan Wang
Tongliang Liu
Chao Shen
AAML
MQ
17
12
0
10 May 2023
A Framework for Benchmarking Real-Time Embedded Object Detection
A Framework for Benchmarking Real-Time Embedded Object Detection
M. Schlosser
D. König
Michael Teutsch
ObjD
11
0
0
23 Apr 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient
  approaches along the Deep Learning Lifecycle
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
HAI
MedIm
23
19
0
05 Feb 2023
Synthetic data generation method for data-free knowledge distillation in
  regression neural networks
Synthetic data generation method for data-free knowledge distillation in regression neural networks
Tianxun Zhou
K. Chiam
11
5
0
11 Jan 2023
Generative Adversarial Super-Resolution at the Edge with Knowledge
  Distillation
Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation
Simone Angarano
Francesco Salvetti
Mauro Martini
Marcello Chiaberge
GAN
12
21
0
07 Sep 2022
AI Augmented Edge and Fog Computing: Trends and Challenges
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
G. Casale
B. Javadi
Feng Yan
Rajkumar Buyya
N. Jennings
17
56
0
01 Aug 2022
A Fast Attention Network for Joint Intent Detection and Slot Filling on
  Edge Devices
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices
Liang Huang
Senjie Liang
Feiyang Ye
Nan Gao
48
3
0
16 May 2022
Enabling All In-Edge Deep Learning: A Literature Review
Enabling All In-Edge Deep Learning: A Literature Review
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
16
22
0
07 Apr 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research
  Directions
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions
Chamara Sandeepa
Bartlomiej Siniarski
N. Kourtellis
Shen Wang
Madhusanka Liyanage
14
20
0
08 Mar 2022
Toward Compact Parameter Representations for Architecture-Agnostic
  Neural Network Compression
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression
Yuezhou Sun
Wenlong Zhao
Lijun Zhang
Xiao Liu
Hui Guan
Matei A. Zaharia
9
0
0
19 Nov 2021
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural
  Architecture Search
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search
Xiangzhong Luo
Di Liu
Shuo Huai
Weichen Liu
18
6
0
11 Mar 2021
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
178
1,027
0
06 Mar 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,680
0
14 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
88
513
0
09 Apr 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
305
1,047
0
10 Feb 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,319
0
05 Nov 2016
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