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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
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer
  IoT Devices
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices
Xueshuo Xie
Haoxu Wang
Zhaolong Jian
Tao Li
Wei Wang
Zhiwei Xu
Gui-Ping Wang
44
2
0
19 Mar 2024
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via
  Selective Entropy Distillation
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
Yaofo Chen
Shuaicheng Niu
Yaowei Wang
Shoukai Xu
Hengjie Song
Mingkui Tan
35
6
0
27 Feb 2024
Model Compression Method for S4 with Diagonal State Space Layers using
  Balanced Truncation
Model Compression Method for S4 with Diagonal State Space Layers using Balanced Truncation
Haruka Ezoe
Kazuhiro Sato
33
0
0
25 Feb 2024
MAGNETO: Edge AI for Human Activity Recognition -- Privacy and
  Personalization
MAGNETO: Edge AI for Human Activity Recognition -- Privacy and Personalization
Jingwei Zuo
George Arvanitakis
Mthandazo Ndhlovu
Hakim Hacid
24
1
0
11 Feb 2024
A Review on Building Blocks of Decentralized Artificial Intelligence
A Review on Building Blocks of Decentralized Artificial Intelligence
Vid Keršič
Muhamed Turkanović
21
1
0
05 Feb 2024
HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient
  Sparse Data Processing
HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing
Sanggeon Yun
Hanning Chen
Ryozo Masukawa
Hamza Errahmouni Barkam
Andrew Ding
Wenjun Huang
Arghavan Rezvani
Shaahin Angizi
Mohsen Imani
29
7
0
04 Jan 2024
IoT in the Era of Generative AI: Vision and Challenges
IoT in the Era of Generative AI: Vision and Challenges
Xin Wang
Zhongwei Wan
Arvin Hekmati
M. Zong
Samiul Alam
Mi Zhang
Bhaskar Krishnamachari
32
15
0
03 Jan 2024
Resource-efficient Generative Mobile Edge Networks in 6G Era:
  Fundamentals, Framework and Case Study
Resource-efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study
Bingkun Lai
Jinbo Wen
Jiawen Kang
Hongyang Du
Jiangtian Nie
Changyan Yi
Dong In Kim
Shengli Xie
29
14
0
19 Dec 2023
Enhancing Edge Intelligence with Highly Discriminant LNT Features
Enhancing Edge Intelligence with Highly Discriminant LNT Features
Xinyu Wang
Vinod K. Mishra
C.-C. Jay Kuo
29
2
0
19 Dec 2023
Livestock feeding behaviour: A review on automated systems for ruminant
  monitoring
Livestock feeding behaviour: A review on automated systems for ruminant monitoring
José O. Chelotti
Luciano S. Martinez-Rau
Mariano Ferrero
Leandro D. Vignolo
J. Galli
A. Planisich
H. Rufiner
L. Giovanini
22
7
0
03 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
49
17
0
01 Dec 2023
The AutoSPADA Platform: User-Friendly Edge Computing for Distributed
  Learning and Data Analytics in Connected Vehicles
The AutoSPADA Platform: User-Friendly Edge Computing for Distributed Learning and Data Analytics in Connected Vehicles
Adrian Nilsson
Simon Smith
Jonas Hagmar
Magnus Önnheim
Mats Jirstrand
28
0
0
29 Nov 2023
Edge AI for Internet of Energy: Challenges and Perspectives
Edge AI for Internet of Energy: Challenges and Perspectives
Yassine Himeur
A. Sayed
A. Alsalemi
F. Bensaali
Abbes Amira
57
26
0
28 Nov 2023
QOCO: A QoE-Oriented Computation Offloading Algorithm based on Deep
  Reinforcement Learning for Mobile Edge Computing
QOCO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
Iman Rahmati
Hamed Shah-Mansouri
Ali Movaghar
12
0
0
04 Nov 2023
SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and
  Scalable Large Mixture-of-Experts Models
SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models
Zhixu Du
Shiyu Li
Yuhao Wu
Xiangyu Jiang
Jingwei Sun
Qilin Zheng
Yongkai Wu
Ang Li
Hai Helen Li
Yiran Chen
MoE
43
12
0
29 Oct 2023
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility
  and Opportunities
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities
Roberto Morabito
Mallik Tatipamula
Sasu Tarkoma
Mung Chiang
23
1
0
27 Oct 2023
A Survey on Trustworthy Edge Intelligence: From Security and Reliability
  To Transparency and Sustainability
A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability
Xiaojie Wang
Beibei Wang
Yu Wu
Zhaolong Ning
Song Guo
Feng Yu
39
12
0
27 Oct 2023
AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN
  Deployment Framework for Mobile Edge Computing
AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN Deployment Framework for Mobile Edge Computing
Bowen Pang
Sicong Liu
Hongli Wang
Bin Guo
Yuzhan Wang
Hao Wang
Zhenli Sheng
Zhongyi Wang
Zhiwen Yu
27
2
0
25 Oct 2023
Accelerating Split Federated Learning over Wireless Communication
  Networks
Accelerating Split Federated Learning over Wireless Communication Networks
Ce Xu
Jinxuan Li
Yuan Liu
Yushi Ling
Miaowen Wen
FedML
31
23
0
24 Oct 2023
The Implications of Decentralization in Blockchained Federated Learning:
  Evaluating the Impact of Model Staleness and Inconsistencies
The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies
F. Wilhelmi
Nima Afraz
Elia Guerra
Paolo Dini
42
3
0
11 Oct 2023
Model Compression in Practice: Lessons Learned from Practitioners
  Creating On-device Machine Learning Experiences
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences
Fred Hohman
Mary Beth Kery
Donghao Ren
Dominik Moritz
37
16
0
06 Oct 2023
Edge AI Empowered Physical Layer Security for 6G NTN: Potential Threats
  and Future Opportunities
Edge AI Empowered Physical Layer Security for 6G NTN: Potential Threats and Future Opportunities
Hong-Fu Chou
Sourabh Solanki
Vu Nguyen Ha
Lin Chen
Sean Longyu Ma
H. Al-Hraishawi
G. Eappen
Symeon Chatzinotas
31
1
0
03 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A
  survey
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
37
22
0
27 Sep 2023
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks
V. Perifanis
Nikolaos Pavlidis
Selim F. Yilmaz
F. Wilhelmi
Elia Guerra
M. Miozzo
P. Efraimidis
Paolo Dini
R. Koutsiamanis
29
11
0
19 Sep 2023
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental
  Regularization
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization
Qianyu Long
Christos Anagnostopoulos
S. P. Parambath
Daning Bi
AI4CE
FedML
23
2
0
13 Sep 2023
Towards characterization of edge-cloud continuum
Towards characterization of edge-cloud continuum
Danylo Khalyeyev
T. Bures
P. Hnetynka
13
7
0
11 Sep 2023
FusionAI: Decentralized Training and Deploying LLMs with Massive
  Consumer-Level GPUs
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs
Zhenheng Tang
Yuxin Wang
Xin He
Longteng Zhang
Xinglin Pan
...
Rongfei Zeng
Kaiyong Zhao
S. Shi
Bingsheng He
Xiaowen Chu
46
30
0
03 Sep 2023
BeeFlow: Behavior Tree-based Serverless Workflow Modeling and Scheduling
  for Resource-Constrained Edge Clusters
BeeFlow: Behavior Tree-based Serverless Workflow Modeling and Scheduling for Resource-Constrained Edge Clusters
Ke Luo
Ouyang Tao
Zhi Zhou
Xu Chen
32
1
0
31 Aug 2023
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
Ilkay Sikdokur
Inci M. Baytas
A. Yurdakul
FedML
28
0
0
25 Jul 2023
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted
  Drones
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones
Liekang Zeng
Haowei Chen
Daipeng Feng
Xiaoxi Zhang
Xu Chen
20
7
0
19 Jul 2023
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT
  Services
Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services
Liekang Zeng
Xu Chen
Peng Huang
Ke Luo
Xiaoxi Zhang
Zhi Zhou
GNN
31
6
0
04 Jul 2023
MimiC: Combating Client Dropouts in Federated Learning by Mimicking
  Central Updates
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates
Yuchang Sun
Yuyi Mao
Jinchao Zhang
FedML
35
10
0
21 Jun 2023
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand
  Edge Resource
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Xiang Yang
Deliang Chen
Q. Qi
Jingyu Wang
Haifeng Sun
J. Liao
Song Guo
27
3
0
21 Jun 2023
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT
  Edge Nodes
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
Francesco Daghero
Luca Bompani
Enrico Macii
P. Montuschi
M. Poncino
Daniele Jahier Pagliari
28
5
0
16 Jun 2023
GQFedWAvg: Optimization-Based Quantized Federated Learning in General
  Edge Computing Systems
GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems
Yangchen Li
Ying Cui
Vincent K. N. Lau
FedML
27
3
0
13 Jun 2023
Precision-aware Latency and Energy Balancing on Multi-Accelerator
  Platforms for DNN Inference
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
Matteo Risso
Luca Bompani
G. M. Sarda
Luca Benini
Enrico Macii
M. Poncino
Marian Verhelst
Daniele Jahier Pagliari
30
4
0
08 Jun 2023
Hardware-aware Training Techniques for Improving Robustness of Ex-Situ
  Neural Network Transfer onto Passive TiO2 ReRAM Crossbars
Hardware-aware Training Techniques for Improving Robustness of Ex-Situ Neural Network Transfer onto Passive TiO2 ReRAM Crossbars
Philippe Drolet
R. Dawant
Victor Yon
Pierre-Antoine Mouny
Matthieu Valdenaire
...
Sean U. N. Wood
S. Ecoffey
Fabien Alibart
Y. Beilliard
Dominique Drouin
13
1
0
29 May 2023
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered
  by Reconfigurable Intelligent Surfaces
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces
Kyriakos Stylianopoulos
M. Merluzzi
P. Lorenzo
G. C. Alexandropoulos
35
9
0
18 May 2023
A Survey of Federated Evaluation in Federated Learning
A Survey of Federated Evaluation in Federated Learning
Behnaz Soltani
Yipeng Zhou
Venus Haghighi
John C. S. Lui
FedML
43
12
0
14 May 2023
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold
  Processors
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors
Zichao Shen
Neil Howard
J. Núñez-Yáñez
18
2
0
19 Apr 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving
  Services
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
34
37
0
13 Apr 2023
Efficient Deep Learning Models for Privacy-preserving People Counting on
  Low-resolution Infrared Arrays
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays
Chen Xie
Francesco Daghero
Yukai Chen
Marco Castellano
Luca Gandolfi
A. Calimera
Enrico Macii
M. Poncino
Daniele Jahier Pagliari
24
6
0
12 Apr 2023
Integrating Edge-AI in Structural Health Monitoring domain
Integrating Edge-AI in Structural Health Monitoring domain
Anoop Mishra
Gopinath Gangisetti
Deepak Khazanchi
11
2
0
07 Apr 2023
Edge-Based Video Analytics: A Survey
Edge-Based Video Analytics: A Survey
Miao Hu
Zhenxiao Luo
A. Pasdar
Young Choon Lee
Yipeng Zhou
Di Wu
47
14
0
25 Mar 2023
Differentially Private Deep Q-Learning for Pattern Privacy Preservation
  in MEC Offloading
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading
Shuying Gan
Marie Siew
Chao Xu
Tony Q.S. Quek
20
1
0
09 Feb 2023
Unsupervised Deep Learning for IoT Time Series
Unsupervised Deep Learning for IoT Time Series
Ya Liu
Ying Zhou
Kai Yang
Xiao Wang
AI4TS
41
34
0
07 Feb 2023
Distributed Traffic Synthesis and Classification in Edge Networks: A
  Federated Self-supervised Learning Approach
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
Yong Xiao
Rong Xia
Yingyu Li
Guangming Shi
Diep N. Nguyen
D. Hoang
Dusit Niyato
Marwan Krunz
29
12
0
01 Feb 2023
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning
  Method
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method
Xiangwei Wang
Rui Han
Chi Harold Liu
CLL
19
0
0
17 Jan 2023
RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible
  and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration
RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration
Yvan Tortorella
L. Bertaccini
Luca Benini
D. Rossi
Francesco Conti
28
13
0
10 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and
  Semantics
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Yahao Ding
Zhaohui Yang
Viet Quoc Pham
Zhaoyang Zhang
M. Shikh-Bahaei
36
32
0
03 Jan 2023
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