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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

4 May 2021
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
ArXivPDFHTML

Papers citing "Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence"

50 / 132 papers shown
Title
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical
  XAI
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Erico Tjoa
Cuntai Guan
XAI
89
1,446
0
17 Jul 2019
Security for Distributed Deep Neural Networks Towards Data
  Confidentiality & Intellectual Property Protection
Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection
L. Gomez
M. Wilhelm
José Márquez
Patrick Duverger
35
9
0
09 Jul 2019
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for
  Distributed Reinforcement Learning
A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning
Yixuan Lin
Kai Zhang
Zhuoran Yang
Zhaoran Wang
Tamer Basar
Romeil Sandhu
Ji Liu
54
35
0
06 Jul 2019
On the Convergence of FedAvg on Non-IID Data
On the Convergence of FedAvg on Non-IID Data
Xiang Li
Kaixuan Huang
Wenhao Yang
Shusen Wang
Zhihua Zhang
FedML
138
2,333
0
04 Jul 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with
  Edge Computing
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
88
1,439
0
24 May 2019
Client-Edge-Cloud Hierarchical Federated Learning
Client-Edge-Cloud Hierarchical Federated Learning
Lumin Liu
Jun Zhang
S. H. Song
Khaled B. Letaief
FedML
70
742
0
16 May 2019
QTRAN: Learning to Factorize with Transformation for Cooperative
  Multi-Agent Reinforcement Learning
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son
Daewoo Kim
Wan Ju Kang
D. Hostallero
Yung Yi
OffRL
52
804
0
14 May 2019
Exploring Randomly Wired Neural Networks for Image Recognition
Exploring Randomly Wired Neural Networks for Image Recognition
Saining Xie
Alexander Kirillov
Ross B. Girshick
Kaiming He
64
365
0
02 Apr 2019
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step
  Pruning
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
Wenqi Shi
Yunzhong Hou
Sheng Zhou
Z. Niu
Yang Zhang
Lu Geng
63
84
0
08 Mar 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
64
1,355
0
07 Mar 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
Ziqi Yang
E. Chang
Zhenkai Liang
MLAU
54
60
0
22 Feb 2019
Deep Learning Based Video System for Accurate and Real-Time Parking
  Measurement
Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
B. Cai
Ricardo Alvarez
M. Sit
Fábio Duarte
C. Ratti
HAI
48
54
0
20 Feb 2019
Network Offloading Policies for Cloud Robotics: a Learning-based
  Approach
Network Offloading Policies for Cloud Robotics: a Learning-based Approach
Sandeep P. Chinchali
Apoorva Sharma
James Harrison
Amine Elhafsi
Daniel Kang
Evgenya Pergament
Eyal Cidon
Sachin Katti
Marco Pavone
OffRL
28
106
0
15 Feb 2019
Learning to Schedule Communication in Multi-agent Reinforcement Learning
Learning to Schedule Communication in Multi-agent Reinforcement Learning
Daewoo Kim
Sang-chul Moon
D. Hostallero
Wan Ju Kang
Taeyoung Lee
Kyunghwan Son
Yung Yi
65
208
0
05 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
93
2,295
0
17 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
78
785
0
31 Dec 2018
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for
  Edge-Cloud Execution
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
Hongshan Li
Chenghao Hu
Jingyan Jiang
Zhi Wang
Yonggang Wen
Wenwu Zhu
77
133
0
25 Dec 2018
Learning when to Communicate at Scale in Multiagent Cooperative and
  Competitive Tasks
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Amanpreet Singh
Tushar Jain
Sainbayar Sukhbaatar
114
244
0
23 Dec 2018
Auto-tuning Neural Network Quantization Framework for Collaborative
  Inference Between the Cloud and Edge
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Guangli Li
Lei Liu
Xueying Wang
Xiao-jun Dong
Peng Zhao
Xiaobing Feng
MQ
59
64
0
16 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed
  Reinforcement Learning
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning
Tianyi Chen
Kai Zhang
G. Giannakis
Tamer Basar
OffRL
41
41
0
07 Dec 2018
Wireless Network Intelligence at the Edge
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
93
521
0
07 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From
  Federated Learning
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Peng Kuang
Mengkai Song
Zhifei Zhang
Yang Song
Qian Wang
Hairong Qi
FedML
76
786
0
03 Dec 2018
A Survey on Data Collection for Machine Learning: a Big Data -- AI
  Integration Perspective
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
Yuji Roh
A. Mishra
Steven Euijong Whang
63
680
0
08 Nov 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
101
559
0
12 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
67
751
0
05 Oct 2018
Not Just Privacy: Improving Performance of Private Deep Learning in
  Mobile Cloud
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud
Ji Wang
Jianguo Zhang
Weidong Bao
Xiaomin Zhu
Bokai Cao
Philip S. Yu
54
194
0
10 Sep 2018
Edge Intelligence: On-Demand Deep Learning Model Co-Inference with
  Device-Edge Synergy
Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
En Li
Zhi Zhou
Xu Chen
49
327
0
20 Jun 2018
Federated Learning with Non-IID Data
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
146
2,567
0
02 Jun 2018
Learning Attentional Communication for Multi-Agent Cooperation
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang
Zongqing Lu
60
487
0
20 May 2018
Client Selection for Federated Learning with Heterogeneous Resources in
  Mobile Edge
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
Takayuki Nishio
Ryo Yonetani
FedML
120
1,403
0
23 Apr 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
242
1,704
0
14 Apr 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Pete Warden
74
1,616
0
09 Apr 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
131
1,671
0
30 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
85
1,312
0
12 Mar 2018
I Know What You See: Power Side-Channel Attack on Convolutional Neural
  Network Accelerators
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators
Lingxiao Wei
Bo Luo
Yu LI
Yannan Liu
Qiang Xu
FedML
41
201
0
05 Mar 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kai Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
68
587
0
23 Feb 2018
Edge-Host Partitioning of Deep Neural Networks with Feature Space
  Encoding for Resource-Constrained Internet-of-Things Platforms
Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms
J. Ko
Taesik Na
M. Amir
Saibal Mukhopadhyay
54
150
0
11 Feb 2018
A Game-Theoretic Approach to Design Secure and Resilient Distributed
  Support Vector Machines
A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines
Rui Zhang
Quanyan Zhu
AAML
30
35
0
07 Feb 2018
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT
  Devices
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices
Ramyad Hadidi
Jiashen Cao
M. Woodward
Michael S. Ryoo
Hyesoon Kim
41
34
0
05 Feb 2018
JointDNN: An Efficient Training and Inference Engine for Intelligent
  Mobile Cloud Computing Services
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services
Amir Erfan Eshratifar
M. Abrishami
Massoud Pedram
FedML
53
251
0
25 Jan 2018
Differentially Private Federated Learning: A Client Level Perspective
Differentially Private Federated Learning: A Client Level Perspective
Robin C. Geyer
T. Klein
Moin Nabi
FedML
116
1,294
0
20 Dec 2017
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
M. Mohammadi
Ala I. Al-Fuqaha
Sameh Sorour
Mohsen Guizani
65
1,059
0
09 Dec 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
UQCV
85
1,139
0
06 Sep 2017
Distributed Deep Neural Networks over the Cloud, the Edge and End
  Devices
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
FedML
74
715
0
06 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
260
8,876
0
25 Aug 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
120
2,809
0
19 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
446
18,931
0
20 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning
Value-Decomposition Networks For Cooperative Multi-Agent Learning
P. Sunehag
Guy Lever
A. Gruslys
Wojciech M. Czarnecki
V. Zambaldi
...
Marc Lanctot
Nicolas Sonnerat
Joel Z Leibo
K. Tuyls
T. Graepel
67
1,002
0
16 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
138
4,478
0
07 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
112
2,072
0
24 May 2017
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