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. 1806.07840
  4. Cited By
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

20 June 2018
En Li
Zhi Zhou
Xu Chen
ArXivPDFHTML

Papers citing "Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy"

50 / 70 papers shown
Title
Aligning Task- and Reconstruction-Oriented Communications for Edge Intelligence
Aligning Task- and Reconstruction-Oriented Communications for Edge Intelligence
Yufeng Diao
Yichi Zhang
Changyang She
Philip Guodong Zhao
Emma Liying Li
67
0
0
24 Feb 2025
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices
Xian Peng
Xin Wu
Lianming Xu
Li Wang
Aiguo Fei
36
0
0
06 Feb 2025
Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing
Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing
Busra Tegin
Muhammad Atif Ali
T. Duman
70
0
0
20 Jan 2025
BF-IMNA: A Bit Fluid In-Memory Neural Architecture for Neural Network
  Acceleration
BF-IMNA: A Bit Fluid In-Memory Neural Architecture for Neural Network Acceleration
M. Rakka
Rachid Karami
A. Eltawil
M. Fouda
Fadi J. Kurdahi
MQ
47
1
0
03 Nov 2024
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
45
0
0
01 Nov 2024
Latency optimized Deep Neural Networks (DNNs): An Artificial
  Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)
Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)
Seyed Nima Omidsajedi
Rekha Reddy
Jianming Yi
Jan Herbst
Christoph Lipps
Hans D. Schotten
18
0
0
16 Jul 2024
Knowledge boosting during low-latency inference
Knowledge boosting during low-latency inference
Vidya Srinivas
Malek Itani
Tuochao Chen
Sefik Emre Eskimez
Takuya Yoshioka
Shyamnath Gollakota
32
2
0
09 Jul 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
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN
  Inference at the Edge
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge
Hasanul Mahmud
Peng Kang
Kevin Desai
P. Lama
Sushil Prasad
25
3
0
11 Mar 2024
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
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
Deep Reinforcement Learning-based Scheduling for Optimizing System Load
  and Response Time in Edge and Fog Computing Environments
Deep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments
Zhiyu Wang
M. Goudarzi
Mingming Gong
Rajkumar Buyya
28
57
0
14 Sep 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative
  Inference Framework for Deep Learning Classification Tasks
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks
Jingyi Li
Guocheng Liao
Lin Chen
Xu Chen
37
8
0
06 Sep 2023
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems
Abhishek Moitra
Abhiroop Bhattacharjee
Youngeun Kim
Priyadarshini Panda
AAML
35
1
0
05 Sep 2023
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
Ilkay Sikdokur
Inci M. Baytas
A. Yurdakul
FedML
25
0
0
25 Jul 2023
Adaptive ResNet Architecture for Distributed Inference in
  Resource-Constrained IoT Systems
Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems
Fazeela Mazhar Khan
Emna Baccour
A. Erbad
Mounir Hamdi
31
2
0
21 Jul 2023
A Survey on Deep Neural Network Partition over Cloud, Edge and End
  Devices
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices
Di Xu
Xiang He
Tonghua Su
Zhongjie Wang
29
6
0
20 Apr 2023
Deep Edge Intelligence: Architecture, Key Features, Enabling
  Technologies and Challenges
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges
Prabath Abeysekara
Haipeng Dong
•. A. K. Qin
19
1
0
24 Oct 2022
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and
  Supervised Learning
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning
Tinghao Zhang
Zhijun Li
Yongrui Chen
Kwok-Yan Lam
Jun Zhao
13
4
0
11 Oct 2022
Auditing Membership Leakages of Multi-Exit Networks
Auditing Membership Leakages of Multi-Exit Networks
Zheng Li
Yiyong Liu
Xinlei He
Ning Yu
Michael Backes
Yang Zhang
AAML
27
32
0
23 Aug 2022
DynaMarks: Defending Against Deep Learning Model Extraction Using
  Dynamic Watermarking
DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking
Abhishek Chakraborty
Daniel Xing
Yuntao Liu
Ankur Srivastava
AAML
MLAU
19
7
0
27 Jul 2022
AutoDiCE: Fully Automated Distributed CNN Inference at the Edge
AutoDiCE: Fully Automated Distributed CNN Inference at the Edge
Xiaotian Guo
A. Pimentel
T. Stefanov
13
1
0
20 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
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
36
399
0
01 Jun 2022
Edge-PRUNE: Flexible Distributed Deep Learning Inference
Edge-PRUNE: Flexible Distributed Deep Learning Inference
Jani Boutellier
Bo Tan
J. Nurmi
21
2
0
27 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
48
22
0
07 Apr 2022
Iterative Activation-based Structured Pruning
Iterative Activation-based Structured Pruning
Kaiqi Zhao
Animesh Jain
Ming Zhao
42
0
0
22 Jan 2022
An Adaptive Device-Edge Co-Inference Framework Based on Soft
  Actor-Critic
An Adaptive Device-Edge Co-Inference Framework Based on Soft Actor-Critic
Tao Niu
Yinglei Teng
Zhu Han
Panpan Zou
6
8
0
09 Jan 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
Rui Han
Qinglong Zhang
C. Liu
Guoren Wang
Jian Tang
L. Chen
21
44
0
18 Dec 2021
JMSNAS: Joint Model Split and Neural Architecture Search for Learning
  over Mobile Edge Networks
JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks
Yuqing Tian
Zhaoyang Zhang
Zhaohui Yang
Qianqian Yang
11
18
0
16 Nov 2021
Communication-Efficient Separable Neural Network for Distributed
  Inference on Edge Devices
Communication-Efficient Separable Neural Network for Distributed Inference on Edge Devices
Jun-Liang Lin
Sheng-De Wang
15
0
0
03 Nov 2021
Edge-Cloud Collaborated Object Detection via Difficult-Case
  Discriminator
Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator
Zhiqiang Cao
Zhijun Li
Pan Heng
Yongrui Chen
Daqi Xie
Jie Liu
22
12
0
29 Aug 2021
Latency-Memory Optimized Splitting of Convolution Neural Networks for
  Resource Constrained Edge Devices
Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices
Tanmay Jain
Avaneesh
Rohit Verma
R. Shorey
11
1
0
19 Jul 2021
Dynamic Distribution of Edge Intelligence at the Node Level for Internet
  of Things
Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things
Hawzhin Mohammed
Tolulope A. Odetola
N. Guo
S. R. Hasan
11
0
0
13 Jul 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Di Wu
R. Ullah
P. Harvey
Peter Kilpatrick
I. Spence
Blesson Varghese
42
79
0
09 Jul 2021
NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs
NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs
A. Majeed
Peter Kilpatrick
I. Spence
Blesson Varghese
11
2
0
29 Jun 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
30
87
0
04 May 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy
  and Computational Cost of Cascade Inference Systems
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
Shohei Enomoto
Takeharu Eda
UQCV
49
17
0
15 Apr 2021
Learning Task-Oriented Communication for Edge Inference: An Information
  Bottleneck Approach
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao
Yuyi Mao
Jun Zhang
52
212
0
08 Feb 2021
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge
  Intelligence via Online Learning
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
Letian Zhang
Lixing Chen
Jie Xu
19
51
0
02 Feb 2021
NetCut: Real-Time DNN Inference Using Layer Removal
NetCut: Real-Time DNN Inference Using Layer Removal
Mehrshad Zandigohar
Deniz Erdogmus
G. Schirner
17
5
0
13 Jan 2021
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT
  surveillance systems
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
Emna Baccour
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
14
19
0
25 Oct 2020
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit
  Neural Network Inference
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
Sanghyun Hong
Yigitcan Kaya
Ionut-Vlad Modoranu
Tudor Dumitras
AAML
17
69
0
06 Oct 2020
Gateway Controller with Deep Sensing: Learning to be Autonomic in
  Intelligent Internet of Things
Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things
R. Rahmani
Ramin Firouzi
GNN
8
5
0
18 Sep 2020
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge
  AI
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI
Lei Yang
Yanyan Lu
Jiannong Cao
Jiaming Huang
Mingjin Zhang
30
20
0
04 Aug 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in
  Mobile Edge Computing Systems
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems
Wentai Wu
Ligang He
Weiwei Lin
Rui Mao
25
78
0
28 Jul 2020
Joint Multi-User DNN Partitioning and Computational Resource Allocation
  for Collaborative Edge Intelligence
Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence
Xin Tang
Xu Chen
Liekang Zeng
Shuai Yu
Lin Chen
8
91
0
15 Jul 2020
Leveraging the Power of Prediction: Predictive Service Placement for
  Latency-Sensitive Mobile Edge Computing
Leveraging the Power of Prediction: Predictive Service Placement for Latency-Sensitive Mobile Edge Computing
Huirong Ma
Zhi Zhou
Xu Chen
15
50
0
17 Jun 2020
How Secure is Distributed Convolutional Neural Network on IoT Edge
  Devices?
How Secure is Distributed Convolutional Neural Network on IoT Edge Devices?
Hawzhin Mohammed
Tolulope A. Odetola
S. R. Hasan
11
2
0
16 Jun 2020
CDC: Classification Driven Compression for Bandwidth Efficient
  Edge-Cloud Collaborative Deep Learning
CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
Yuanrui Dong
Peng Zhao
Hanqiao Yu
Cong Zhao
Shusen Yang
31
19
0
04 May 2020
12
Next