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Machine Learning at the Network Edge: A Survey

Machine Learning at the Network Edge: A Survey

31 July 2019
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
ArXivPDFHTML

Papers citing "Machine Learning at the Network Edge: A Survey"

27 / 27 papers shown
Title
Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems
Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Bo Gao
Tianliu He
Wen Wang
59
0
0
24 Feb 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
34
0
0
01 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
37
2
0
28 Oct 2024
Gaussian Process Upper Confidence Bounds in Distributed Point Target
  Tracking over Wireless Sensor Networks
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks
Xingchi Liu
Lyudmila Mihaylova
Jemin George
T. Pham
19
9
0
11 Sep 2024
Federated Learning with Flexible Architectures
Federated Learning with Flexible Architectures
Jong-Ik Park
Carlee Joe-Wong
FedML
34
3
0
14 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
27
1
0
01 Jun 2024
Enhancing User Experience in On-Device Machine Learning with Gated
  Compression Layers
Enhancing User Experience in On-Device Machine Learning with Gated Compression Layers
Haiguang Li
Usama Pervaiz
Joseph Antognini
Michal Matuszak
Lawrence Au
Gilles Roux
T. Thormundsson
36
0
0
02 May 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
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
28
7
0
07 Dec 2023
Using Cooperative Game Theory to Prune Neural Networks
Using Cooperative Game Theory to Prune Neural Networks
M. Diaz-Ortiz
Benjamin Kempinski
Daphne Cornelisse
Yoram Bachrach
Tal Kachman
33
2
0
17 Nov 2023
Sparse-firing regularization methods for spiking neural networks with
  time-to-first spike coding
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
Yusuke Sakemi
Kakei Yamamoto
T. Hosomi
Kazuyuki Aihara
40
7
0
24 Jul 2023
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast
  On-Device Adaption
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption
Yejia Liu
Shijin Duan
Xiaolin Xu
Shaolei Ren
19
4
0
23 Feb 2023
Learning Reservoir Dynamics with Temporal Self-Modulation
Learning Reservoir Dynamics with Temporal Self-Modulation
Yusuke Sakemi
S. Nobukawa
Toshitaka Matsuki
Takashi Morie
Kazuyuki Aihara
14
6
0
23 Jan 2023
Simplification of Forest Classifiers and Regressors
Simplification of Forest Classifiers and Regressors
Atsuyoshi Nakamura
Kento Sakurada
21
1
0
14 Dec 2022
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and
  Future Directions
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions
Sundas Iftikhar
S. Gill
Chenghao Song
Minxian Xu
M. Aslanpour
...
Félix Cuadrado
Blesson Varghese
Omer F. Rana
Schahram Dustdar
Steve Uhlig
34
132
0
09 Dec 2022
Taxonomic Classification of IoT Smart Home Voice Control
Taxonomic Classification of IoT Smart Home Voice Control
M. Hewitt
H. Cunningham
11
1
0
24 Oct 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
Lightweight Conditional Model Extrapolation for Streaming Data under
  Class-Prior Shift
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift
Paulina Tomaszewska
Christoph H. Lampert
20
0
0
10 Jun 2022
Multi-Component Optimization and Efficient Deployment of Neural-Networks
  on Resource-Constrained IoT Hardware
Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware
B. Sudharsan
Dineshkumar Sundaram
Pankesh Patel
J. Breslin
M. Ali
Schahram Dustdar
Albert Zomaya
R. Ranjan
13
2
0
20 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
19
22
0
07 Apr 2022
TinyML Platforms Benchmarking
TinyML Platforms Benchmarking
Anas Osman
Usman Abid
Luca Gemma
Matteo Perotto
Davide Brunelli
ELM
20
15
0
30 Nov 2021
Efficient Softmax Approximation for Deep Neural Networks with Attention
  Mechanism
Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism
Ihor Vasyltsov
Wooseok Chang
8
12
0
21 Nov 2021
Automatic Speech Recognition And Limited Vocabulary: A Survey
Automatic Speech Recognition And Limited Vocabulary: A Survey
J. L. E. K. Fendji
D. Tala
B. Yenke
M. Atemkeng
8
3
0
23 Aug 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
26
86
0
04 May 2021
Neural Network for Low-Memory IoT Devices and MNIST Image Recognition
  Using Kernels Based on Logistic Map
Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map
Andrei Velichko
18
44
0
04 Jun 2020
Communication-Efficient Edge AI: Algorithms and Systems
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
17
326
0
22 Feb 2020
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to
  a Lightweight CNN
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN
S. Nikouei
Yu Chen
Sejun Song
Ronghua Xu
Baek-Young Choi
Timothy R. Faughnan
27
83
0
24 Apr 2018
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