ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.10083
  4. Cited By
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
Holistic Network Virtualization and Pervasive Network Intelligence for
  6G
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin Shen
Shen
Jie Gao
Wen Wu
Mushu Li
Conghao Zhou
W. Zhuang
35
234
0
02 Jan 2023
Beyond 5G Networks: Integration of Communication, Computing, Caching,
  and Control
Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control
M. M. Adam
Liqiang Zhao
Kezhi Wang
Zhu Han
15
10
0
26 Dec 2022
A Sequential Concept Drift Detection Method for On-Device Learning on
  Low-End Edge Devices
A Sequential Concept Drift Detection Method for On-Device Learning on Low-End Edge Devices
T. Yamada
Hiroki Matsutani
27
0
0
19 Dec 2022
Vicious Classifiers: Data Reconstruction Attack at Inference Time
Vicious Classifiers: Data Reconstruction Attack at Inference Time
Mohammad Malekzadeh
Deniz Gunduz
AAML
MIACV
21
0
0
08 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge
  Integration at Edge
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Yaxin Luopan
Rui Han
Qinglong Zhang
Chi Harold Liu
Guoren Wang
FedML
26
18
0
04 Dec 2022
Edge Video Analytics: A Survey on Applications, Systems and Enabling
  Techniques
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Renjie Xu
S. Razavi
Rong Zheng
44
15
0
28 Nov 2022
Task-Oriented Communication for Edge Video Analytics
Task-Oriented Communication for Edge Video Analytics
Jiawei Shao
Xinjie Zhang
Jun Zhang
18
21
0
25 Nov 2022
Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning
  Applications on Edge
Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge
S. Zobaed
Ali Mokhtari
J. Champati
M. Kourouma
M. Salehi
21
9
0
14 Nov 2022
Task-Oriented Over-the-Air Computation for Multi-Device Edge AI
Task-Oriented Over-the-Air Computation for Multi-Device Edge AI
Dingzhu Wen
Xiang Jiao
Peixi Liu
Guangxu Zhu
Yuanming Shi
Kaibin Huang
56
38
0
02 Nov 2022
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over
  Distributed Edge Servers
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers
Liekang Zeng
Chong Yang
Peng Huang
Zhi Zhou
Shuai Yu
Xu Chen
GNN
30
25
0
31 Oct 2022
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G
  Networks
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
Yuxuan Sun
Bowen Xie
Sheng Zhou
Z. Niu
21
19
0
27 Oct 2022
Integration of Neuromorphic AI in Event-Driven Distributed Digitized
  Systems: Concepts and Research Directions
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions
Mattias Nilsson
Olov Schelén
Anders Lindgren
Ulf Bodin
Cristina Paniagua
J. Delsing
Fredrik Sandin
40
14
0
20 Oct 2022
Depersonalized Federated Learning: Tackling Statistical Heterogeneity by
  Alternating Stochastic Gradient Descent
Depersonalized Federated Learning: Tackling Statistical Heterogeneity by Alternating Stochastic Gradient Descent
Yujie Zhou
Zhidu Li
Tong Tang
Ruyang Wang
FedML
27
0
0
07 Oct 2022
The Cost of Training Machine Learning Models over Distributed Data
  Sources
The Cost of Training Machine Learning Models over Distributed Data Sources
Elia Guerra
F. Wilhelmi
M. Miozzo
Paolo Dini
FedML
30
20
0
15 Sep 2022
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated
  Split Learning
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning
Benshun Yin
Zhiyong Chen
M. Tao
FedML
77
23
0
02 Sep 2022
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency
  IoT systems
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems
Emna Baccour
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
30
12
0
27 Aug 2022
FedComm: Understanding Communication Protocols for Edge-based Federated
  Learning
FedComm: Understanding Communication Protocols for Edge-based Federated Learning
Gary Cleland
Di Wu
R. Ullah
Blesson Varghese
30
6
0
18 Aug 2022
A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular
  Networks
A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular Networks
Muhammad Firdaus
Kyung-Hyune Rhee
9
7
0
18 Aug 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning
A Review of the Convergence of 5G/6G Architecture and Deep Learning
O. Odeyomi
Olubiyi O. Akintade
T. Olowu
G. Záruba
AILaw
3DV
AI4TS
23
1
0
16 Aug 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
26
56
0
01 Aug 2022
CFLIT: Coexisting Federated Learning and Information Transfer
CFLIT: Coexisting Federated Learning and Information Transfer
Zehong Lin
Hang Liu
Y. Zhang
17
11
0
26 Jul 2022
A Survey on Collaborative DNN Inference for Edge Intelligence
A Survey on Collaborative DNN Inference for Edge Intelligence
Weiqing Ren
Yuben Qu
Chao Dong
Yuqian Jing
Hao Sun
Qihui Wu
Song Guo
36
49
0
16 Jul 2022
Device-Cloud Collaborative Recommendation via Meta Controller
Device-Cloud Collaborative Recommendation via Meta Controller
Jiangchao Yao
Feng Wang
Xichen Ding
Shaohu Chen
Bo Han
Jingren Zhou
Hongxia Yang
32
17
0
07 Jul 2022
Enabling Harmonious Human-Machine Interaction with Visual-Context
  Augmented Dialogue System: A Review
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review
Hao Wang
Bin Guo
Y. Zeng
Yasan Ding
Chen Qiu
Ying Zhang
Li Yao
Zhiwen Yu
36
2
0
02 Jul 2022
Fundamental Limits of Communication Efficiency for Model Aggregation in
  Distributed Learning: A Rate-Distortion Approach
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach
Naifu Zhang
M. Tao
Jia Wang
Fan Xu
19
13
0
28 Jun 2022
A Feature Memory Rearrangement Network for Visual Inspection of Textured
  Surface Defects Toward Edge Intelligent Manufacturing
A Feature Memory Rearrangement Network for Visual Inspection of Textured Surface Defects Toward Edge Intelligent Manufacturing
Haiming Yao
Wen-yong Yu
Xue Wang
32
39
0
22 Jun 2022
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile
  Devices
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Xiang Yang
Zikang Xu
Q. Qi
Jingyu Wang
Haifeng Sun
J. Liao
Song Guo
21
11
0
17 Jun 2022
Resource-Constrained Edge AI with Early Exit Prediction
Resource-Constrained Edge AI with Early Exit Prediction
Rongkang Dong
Yuyi Mao
Jinchao Zhang
14
13
0
15 Jun 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning
Ali Bereyhi
Adela Vagollari
S. Asaad
R. Muller
W. Gerstacker
H. Vincent Poor
28
6
0
14 Jun 2022
Monitoring and Proactive Management of QoS Levels in Pervasive
  Applications
Monitoring and Proactive Management of QoS Levels in Pervasive Applications
Georgios Boulougaris
Kostas Kolomvatsos
9
0
0
11 Jun 2022
Decentralized Low-Latency Collaborative Inference via Ensembles on the
  Edge
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge
M. Malka
Erez Farhan
Hai Morgenstern
Nir Shlezinger
FedML
33
12
0
07 Jun 2022
LDRNet: Enabling Real-time Document Localization on Mobile Devices
LDRNet: Enabling Real-time Document Localization on Mobile Devices
Hanling Wu
Holland Qian
Huaming Wu
Aad van Moorsel
27
5
0
05 Jun 2022
Adaptive Random Forests for Energy-Efficient Inference on
  Microcontrollers
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
Francesco Daghero
Luca Bompani
Chen Xie
Luca Benini
A. Calimera
Enrico Macii
M. Poncino
Daniele Jahier Pagliari
17
8
0
27 May 2022
People counting system for retail analytics using edge AI
People counting system for retail analytics using edge AI
Karthik Reddy Kanjula
Vishnu Vardhan Reddy
P. JnaneshK
Jeffy S Abraham
K. Tanuja
22
1
0
25 May 2022
On the Decentralization of Blockchain-enabled Asynchronous Federated
  Learning
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning
F. Wilhelmi
Elia Guerra
Paolo Dini
35
6
0
20 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges,
  Enablers, and Future Directions for Orchestration
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen
Lauri Lovén
Naser Hossein Motlagh
Abhishek Kumar
Juha Partala
...
M. Bennis
Sasu Tarkoma
Schahram Dustdar
Susanna Pirttikangas
J. Riekki
38
26
0
03 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
48
22
0
07 Apr 2022
Accelerating Federated Edge Learning via Topology Optimization
Accelerating Federated Edge Learning via Topology Optimization
Shanfeng Huang
Zezhong Zhang
Shuai Wang
Rui-cang Wang
Kaibin Huang
FedML
25
13
0
01 Apr 2022
ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence
ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence
Luhui Wang
Cong Zhao
Shusen Yang
Xinyu Yang
Julie McCann
30
1
0
24 Mar 2022
Energy-efficient Dense DNN Acceleration with Signed Bit-slice
  Architecture
Energy-efficient Dense DNN Acceleration with Signed Bit-slice Architecture
Dongseok Im
Gwangtae Park
Zhiyong Li
Junha Ryu
H. Yoo
MQ
14
0
0
15 Mar 2022
AI for Next Generation Computing: Emerging Trends and Future Directions
AI for Next Generation Computing: Emerging Trends and Future Directions
S. Gill
Minxian Xu
Carlo Ottaviani
Panos Patros
Rami Bahsoon
...
R. Sakellariou
Schahram Dustdar
Omer F. Rana
Ivona Brandić
Steve Uhlig
25
391
0
05 Mar 2022
Addressing Gap between Training Data and Deployed Environment by
  On-Device Learning
Addressing Gap between Training Data and Deployed Environment by On-Device Learning
Kazuki Sunaga
Masaaki Kondo
Hiroki Matsutani
21
7
0
02 Mar 2022
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum
F. Malandrino
C. Chiasserini
G. di Giacomo
14
7
0
23 Feb 2022
Enabling On-Device Smartphone GPU based Training: Lessons Learned
Enabling On-Device Smartphone GPU based Training: Lessons Learned
Anish Das
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
3DH
32
10
0
21 Feb 2022
Towards Enabling Dynamic Convolution Neural Network Inference for Edge
  Intelligence
Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence
Adewale Adeyemo
Travis Sandefur
Tolulope A. Odetola
S. R. Hasan
24
4
0
18 Feb 2022
CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion
CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion
Anh Le-Tuan
Manh Nguyen-Duc
Chien-Quang Le
T. Tran
M. Hauswirth
Thomas Eiter
Danh Le-Phuoc
FedML
23
3
0
15 Feb 2022
Flexible Parallel Learning in Edge Scenarios: Communication,
  Computational and Energy Cost
Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost
F. Malandrino
C. Chiasserini
FedML
21
2
0
19 Jan 2022
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds
Qianlin Liang
Walid A. Hanafy
Ahmed Ali-Eldin
Prashant J. Shenoy
19
37
0
18 Jan 2022
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous
  Localization and Mapping
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping
Peng Huang
Liekang Zeng
Xu Chen
Ke Luo
Zhi Zhou
Shuai Yu
38
51
0
25 Dec 2021
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
Martin Rapp
R. Khalili
Kilian Pfeiffer
J. Henkel
24
18
0
16 Dec 2021
Previous
123456
Next