Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1806.07840
Cited By
Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy
20 June 2018
En Li
Zhi Zhou
Xu Chen
Re-assign community
ArXiv
PDF
HTML
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
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
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
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
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
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)
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
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
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
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
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
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
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
Jingyi Li
Guocheng Liao
Lin Chen
Xu Chen
37
8
0
06 Sep 2023
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
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
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
Di Xu
Xiang He
Tonghua Su
Zhongjie Wang
29
6
0
20 Apr 2023
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
Tinghao Zhang
Zhijun Li
Yongrui Chen
Kwok-Yan Lam
Jun Zhao
13
4
0
11 Oct 2022
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
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
Xiaotian Guo
A. Pimentel
T. Stefanov
13
1
0
20 Jul 2022
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
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
Jani Boutellier
Bo Tan
J. Nurmi
21
2
0
27 Apr 2022
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
Kaiqi Zhao
Animesh Jain
Ming Zhao
42
0
0
22 Jan 2022
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
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
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
Jun-Liang Lin
Sheng-De Wang
15
0
0
03 Nov 2021
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
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
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
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
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
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
Shohei Enomoto
Takeharu Eda
UQCV
49
17
0
15 Apr 2021
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
Letian Zhang
Lixing Chen
Jie Xu
19
51
0
02 Feb 2021
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
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
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
R. Rahmani
Ramin Firouzi
GNN
8
5
0
18 Sep 2020
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
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
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
Huirong Ma
Zhi Zhou
Xu Chen
15
50
0
17 Jun 2020
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
Yuanrui Dong
Peng Zhao
Hanqiao Yu
Cong Zhao
Shusen Yang
31
19
0
04 May 2020
1
2
Next