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Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

19 July 2019
Xiaofei Wang
Yiwen Han
Victor C. M. Leung
Dusit Niyato
Xueqiang Yan
Xu Chen
ArXivPDFHTML

Papers citing "Convergence of Edge Computing and Deep Learning: A Comprehensive Survey"

50 / 58 papers shown
Title
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
26
0
0
07 May 2025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu
Yao Du
Kun Yang
Yan Wang
Xiping Hu
Zehua Wang
Yang Liu
Peng Sun
Azzedine Boukerche
Victor C.M. Leung
43
0
0
03 May 2025
Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs
Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs
Gang Mao
Tousif Rahman
Sidharth Maheshwari
Bob Pattison
Zhuang Shao
R. Shafik
Alex Yakovlev
29
0
0
28 Apr 2025
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance
Jaskirat Singh
Bram Adams
Ahmed E. Hassan
VLM
43
0
0
01 Nov 2024
Benchmarking Edge AI Platforms for High-Performance ML Inference
Benchmarking Edge AI Platforms for High-Performance ML Inference
Rakshith Jayanth
Neelesh Gupta
Viktor Prasanna
BDL
30
1
0
23 Sep 2024
Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in
  Heterogeneous Networks
Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks
Xiang Li
Mustafa Abdallah
Yuan-Yao Lou
Mung Chiang
Kwang Taik Kim
S. Bagchi
23
3
0
17 Sep 2024
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at
  Initialization
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization
Bailey J. Eccles
Leon Wong
Blesson Varghese
33
2
0
22 Apr 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
40
3
0
25 Mar 2024
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs
  in Resource-Constrained Edge Environment
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment
Atah Nuh Mih
Alireza Rahimi
Asfia Kawnine
Francis Palma
Monica Wachowicz
R. Dubay
Hung Cao
25
0
0
14 Mar 2024
Edge-based Parametric Digital Twins for Intelligent Building Indoor
  Climate Modeling
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling
Zhongjun Ni
Chi Zhang
M. Karlsson
Shaofang Gong
AI4CE
28
0
0
07 Mar 2024
Accelerating local laplacian filters on FPGAs
Accelerating local laplacian filters on FPGAs
Shashwat Khandelwal
Z. Choudhury
Shashwat Shrivastava
Suresh Purini
22
3
0
18 Feb 2024
Industrial Internet of Things Intelligence Empowering Smart
  Manufacturing: A Literature Review
Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review
Member Ieee Yujiao Hu
Qingmin Jia
Yuao Yao
Yong Lee
Mengjie Lee
Chenyi Wang
Xiaomao Zhou
Senior Member Ieee Renchao Xie
Feng Yu
29
29
0
02 Dec 2023
A Survey of Blockchain, Artificial Intelligence, and Edge Computing for
  Web 3.0
A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0
Jianjun Zhu
Fan Li
Jinyuan Chen
29
6
0
22 Nov 2023
Collaborative Learning-Based Scheduling for Kubernetes-Oriented
  Edge-Cloud Network
Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network
Shihao Shen
Yiwen Han
Xiaofei Wang
Shiqiang Wang
Victor C. M. Leung
24
6
0
10 May 2023
Spectrum-aware Multi-hop Task Routing in Vehicle-assisted Collaborative
  Edge Computing
Spectrum-aware Multi-hop Task Routing in Vehicle-assisted Collaborative Edge Computing
Yiqin Deng
Haixia Zhang
Xianhao Chen
Yuguang Fang
21
2
0
14 Apr 2023
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation
  for Decentralized Learning
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning
Deepak Ravikumar
Gobinda Saha
Sai Aparna Aketi
Kaushik Roy
18
1
0
09 Apr 2023
User-centric Heterogeneous-action Deep Reinforcement Learning for
  Virtual Reality in the Metaverse over Wireless Networks
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks
Wen-li Yu
Terence Jie Chua
Junfeng Zhao
EgoV
32
18
0
03 Feb 2023
An Exact Mapping From ReLU Networks to Spiking Neural Networks
An Exact Mapping From ReLU Networks to Spiking Neural Networks
A. Stanojević
Stanislaw Wo'zniak
G. Bellec
G. Cherubini
A. Pantazi
W. Gerstner
36
22
0
23 Dec 2022
AI and 6G into the Metaverse: Fundamentals, Challenges and Future
  Research Trends
AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends
Muhammad Zawish
Fayaz Ali Dharejo
Sunder Ali Khowaja
Saleem Raza
Steven Davy
K. Dev
P. Bellavista
31
61
0
23 Aug 2022
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications
A. Kanduri
Sina Shahhosseini
Emad Kasaeyan Naeini
Hamid Alikhani
P. Liljeberg
N. Dutt
Amir M. Rahmani
33
7
0
04 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
21
56
0
01 Aug 2022
Dynamic Split Computing for Efficient Deep Edge Intelligence
Dynamic Split Computing for Efficient Deep Edge Intelligence
Arian Bakhtiarnia
Nemanja Milošević
Qi Zhang
Dragana Bajović
Alexandros Iosifidis
28
24
0
23 May 2022
Scheduling IoT Applications in Edge and Fog Computing Environments: A
  Taxonomy and Future Directions
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
20
69
0
26 Apr 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
31
22
0
07 Apr 2022
Taking ROCKET on an Efficiency Mission: Multivariate Time Series
  Classification with LightWaveS
Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS
Leonardos Pantiskas
K. Verstoep
Mark Hoogendoorn
Henri E. Bal
34
6
0
04 Apr 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
40
96
0
29 Mar 2022
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user
  Edge-cloud Networks
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks
Sina Shahhosseini
Tianyi Hu
Dongjoo Seo
A. Kanduri
Bryan Donyanavard
Amir M.Rahmani
N. Dutt
26
4
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
16
4
0
18 Feb 2022
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
43
416
0
24 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification
  Architecture based on Recurrent Downsampled Attention
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention
S. Tan
Runpei Dong
Kaisheng Ma
22
2
0
03 Nov 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
Learning, Computing, and Trustworthiness in Intelligent IoT
  Environments: Performance-Energy Tradeoffs
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
B. Soret
L. Nguyen
J. Seeger
Arne Bröring
Chaouki Ben Issaid
S. Samarakoon
Anis El Gabli
V. Kulkarni
M. Bennis
P. Popovski
31
13
0
04 Oct 2021
PhiNets: a scalable backbone for low-power AI at the edge
PhiNets: a scalable backbone for low-power AI at the edge
Francesco Paissan
Alberto Ancilotto
Elisabetta Farella
28
32
0
01 Oct 2021
A communication efficient distributed learning framework for smart
  environments
A communication efficient distributed learning framework for smart environments
Lorenzo Valerio
A. Passarella
M. Conti
24
30
0
27 Sep 2021
Ground-Assisted Federated Learning in LEO Satellite Constellations
Ground-Assisted Federated Learning in LEO Satellite Constellations
N. Razmi
Bho Matthiesen
Armin Dekorsy
P. Popovski
FedML
11
79
0
03 Sep 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
Single-Layer Vision Transformers for More Accurate Early Exits with Less
  Overhead
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
27
35
0
19 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
28
86
0
04 May 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and
  Computation
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation
Juliano S. Assine
José Cândido Silveira Santos Filho
Eduardo Valle
ObjD
44
8
0
03 May 2021
Improving the Accuracy of Early Exits in Multi-Exit Architectures via
  Curriculum Learning
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
30
12
0
21 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
Federated Quantum Machine Learning
Federated Quantum Machine Learning
Samuel Yen-Chi Chen
Shinjae Yoo
FedML
AI4CE
19
115
0
22 Mar 2021
Hypervector Design for Efficient Hyperdimensional Computing on Edge
  Devices
Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices
T. Basaklar
Y. Tuncel
S. Y. Narayana
S. Gumussoy
Ümit Y. Ogras
13
25
0
08 Mar 2021
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently
  Running 4bit-Compact Multilayer Perceptrons
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons
Simon Wiedemann
Suhas Shivapakash
P. Wiedemann
Daniel Becking
Wojciech Samek
F. Gerfers
Thomas Wiegand
MQ
23
7
0
17 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
23
15
0
10 Dec 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
CatFedAvg: Optimising Communication-efficiency and Classification
  Accuracy in Federated Learning
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning
D. Sarkar
Sumit Rai
Ankur Narang
FedML
18
2
0
14 Nov 2020
Fast-Convergent Federated Learning
Fast-Convergent Federated Learning
Hung T. Nguyen
Vikash Sehwag
Seyyedali Hosseinalipour
Christopher G. Brinton
M. Chiang
H. Vincent Poor
FedML
26
192
0
26 Jul 2020
Information Freshness-Aware Task Offloading in Air-Ground Integrated
  Edge Computing Systems
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
Xianfu Chen
Celimuge Wu
Tao Chen
Zhi Liu
Honggang Zhang
M. Bennis
Hang Liu
Yusheng Ji
16
68
0
15 Jul 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
49
83
0
10 Jun 2020
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