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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

11 February 2018
J. Ko
Taesik Na
M. Amir
Saibal Mukhopadhyay
ArXivPDFHTML

Papers citing "Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms"

25 / 25 papers shown
Title
Constructing Adversarial Examples for Vertical Federated Learning:
  Optimal Client Corruption through Multi-Armed Bandit
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
Duanyi Yao
Songze Li
Ye Xue
Jin Liu
FedML
AAML
37
1
0
08 Aug 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic
  Review
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review
Federico Nicolás Peccia
Oliver Bringmann
41
0
0
06 May 2024
Mobility and Cost Aware Inference Accelerating Algorithm for Edge
  Intelligence
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence
Xin Yuan
Ning Li
Kang Wei
Wenchao Xu
Quan Chen
Hao Chen
Song Guo
39
0
0
27 Dec 2023
Real-time Neural Network Inference on Extremely Weak Devices: Agile
  Offloading with Explainable AI
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI
Kai Huang
Wei Gao
27
35
0
21 Dec 2023
Adaptive Compression-Aware Split Learning and Inference for Enhanced
  Network Efficiency
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency
Akrit Mudvari
Antero Vainio
Iason Ofeidis
Sasu Tarkoma
Leandros Tassiulas
32
3
0
09 Nov 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
32
6
0
20 Apr 2023
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional
  Classification
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification
Junyao Wang
Sitao Huang
Mohsen Imani
28
9
0
11 Apr 2023
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative
  Using Differential Privacy
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative Using Differential Privacy
Yulong Wang
Xingshu Chen
Qixu Wang
FedML
32
3
0
13 Dec 2022
C3-SL: Circular Convolution-Based Batch-Wise Compression for
  Communication-Efficient Split Learning
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning
Cheng-Yen Hsieh
Yu-Chuan Chuang
An-Yeu
A. Wu
31
7
0
25 Jul 2022
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep
  Learning
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning
S. Akintoye
Liangxiu Han
H. Lloyd
Xin Zhang
Darren Dancey
Haoming Chen
Daoqiang Zhang
FedML
34
5
0
22 Jul 2022
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile
  Devices
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Xiang Yang
Zikang Xu
Q. Qi
Jingyu Wang
Haifeng Sun
J. Liao
Song Guo
21
11
0
17 Jun 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
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training
  Framework for Heterogeneous Edge Devices
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices
Yuhao Chen
Qianqian Yang
Shibo He
Zhiguo Shi
Jiming Chen
24
3
0
06 Oct 2021
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge
  Devices
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
Chulhong Min
Akhil Mathur
Utku Günay Acer
A. Montanari
F. Kawsar
30
11
0
08 Sep 2021
DeepScale: Online Frame Size Adaptation for Multi-object Tracking on
  Smart Cameras and Edge Servers
DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers
Keivan Nalaie
Renjie Xu
Rong Zheng
VOT
27
9
0
22 Jul 2021
On-edge Multi-task Transfer Learning: Model and Practice with
  Data-driven Task Allocation
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation
Zimu Zheng
Qiong Chen
Chuang Hu
Dan Wang
Fangming Liu
29
67
0
06 Jul 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
Can Differential Privacy Practically Protect Collaborative Deep Learning
  Inference for the Internet of Things?
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?
Jihyeon Ryu
Yifeng Zheng
Yansong Gao
A. Abuadbba
Junyaup Kim
Dongho Won
Surya Nepal
Hyoungshick Kim
Cong Wang
26
12
0
08 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future
  Challenges
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
45
402
0
05 Apr 2021
Pareto-Optimal Bit Allocation for Collaborative Intelligence
Pareto-Optimal Bit Allocation for Collaborative Intelligence
Saeed Ranjbar Alvar
Ivan V. Bajić
16
29
0
25 Sep 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
29
327
0
22 Feb 2020
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision
  Tree-Based Ensemble Methods
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods
S. Vargaftik
I. Keslassy
A. Orda
Y. Ben-Itzhak
6
18
0
26 Sep 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
44
1,421
0
24 May 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
19
83
0
08 Mar 2019
A Survey on Methods and Theories of Quantized Neural Networks
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
31
232
0
13 Aug 2018
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