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2011.14808
Cited By
Bringing AI To Edge: From Deep Learning's Perspective
Neurocomputing (Neurocomputing), 2020
25 November 2020
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
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Papers citing
"Bringing AI To Edge: From Deep Learning's Perspective"
24 / 24 papers shown
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Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
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Yang Yang
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Bridging the Resource Gap: Deploying Advanced Imitation Learning Models onto Affordable Embedded Platforms
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024
Haizhou Ge
Ruixiang Wang
Zhu-ang Xu
Hongrui Zhu
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Lu Shi
425
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18 Nov 2024
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision
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Di Liu
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Shuo Huai
Hui Chen
Guochu Xiong
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263
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03 Nov 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
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Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
322
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02 Sep 2024
How Lightweight Can A Vision Transformer Be
Jen Hong Tan
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262
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Edge AI: A Taxonomy, Systematic Review and Future Directions
S. Gill
Muhammed Golec
Jianmin Hu
Minxian Xu
Junhui Du
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Kejiang Ye
Prabal Verma
Surendra Kumar
Félix Cuadrado
Steve Uhlig
281
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04 Jul 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Emad Fallahzadeh
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Ahmed E. Hassan
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25 Mar 2024
Multi-Tier Computing-Enabled Digital Twin in 6G Networks
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Yongyi Tang
T. Duong
Saeed R. Khosravirad
O. Dobre
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28 Dec 2023
Green Edge AI: A Contemporary Survey
Proceedings of the IEEE (Proc. IEEE), 2023
Yuyi Mao
X. Yu
Kaibin Huang
Ying-Jun Angela Zhang
Jun Zhang
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01 Dec 2023
A Dynamic Distributed Scheduler for Computing on the Edge
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K. Mehta
Shivakant Mishra
M. AlMutawa
103
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13 Aug 2023
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
Forum on Specification and Design Languages (FDL), 2023
Daniele Jahier Pagliari
Matteo Risso
Beatrice Alessandra Motetti
Luca Bompani
331
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18 Jul 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yulong Yang
Chenhao Lin
Qian Li
Subrat Kishore Dutta
Haoran Fan
Dawei Zhou
Nannan Wang
Tongliang Liu
Chao Shen
AAML
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405
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10 May 2023
A Framework for Benchmarking Real-Time Embedded Object Detection
German Conference on Pattern Recognition (GCPR), 2023
M. Schlosser
D. König
Michael Teutsch
ObjD
293
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23 Apr 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
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284
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05 Feb 2023
Synthetic data generation method for data-free knowledge distillation in regression neural networks
Expert systems with applications (ESWA), 2023
Tianxun Zhou
K. Chiam
342
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11 Jan 2023
Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation
Engineering applications of artificial intelligence (EAAI), 2022
Simone Angarano
Francesco Salvetti
Mauro Martini
Marcello Chiaberge
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07 Sep 2022
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
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Feng Yan
Rajkumar Buyya
N. Jennings
238
103
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01 Aug 2022
A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Liang Huang
Senjie Liang
Feiyang Ye
Nan Gao
226
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0
16 May 2022
Enabling All In-Edge Deep Learning: A Literature Review
IEEE Access (IEEE Access), 2022
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
338
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07 Apr 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions
Journal of Industrial Information Integration (JIII), 2022
Chamara Sandeepa
Bartlomiej Siniarski
N. Kourtellis
Shen Wang
Madhusanka Liyanage
281
32
0
08 Mar 2022
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression
Yuezhou Sun
Wenlong Zhao
Lijun Zhang
Xiao Liu
Hui Guan
Matei A. Zaharia
222
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0
19 Nov 2021
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search
Design, Automation and Test in Europe (DATE), 2021
Xiangzhong Luo
Di Liu
Shuo Huai
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168
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11 Mar 2021
1
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