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Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks
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Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks

R. G. Pacheco
R. S. Couto
Osvaldo Simeone
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Papers citing "Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks"

7 / 7 papers shown
Title
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
Divya J. Bajpai
M. Hanawal
152
1
0
02 Feb 2025
CEEBERT: Cross-Domain Inference in Early Exit BERT
CEEBERT: Cross-Domain Inference in Early Exit BERT
Divya J. Bajpai
M. Hanawal
LRM
79
5
0
23 May 2024
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
94
7
0
20 Apr 2023
Unsupervised Early Exit in DNNs with Multiple Exits
Unsupervised Early Exit in DNNs with Multiple Exits
U. HariNarayanN
M. Hanawal
Avinash Bhardwaj
63
11
0
20 Sep 2022
Improving Image-recognition Edge Caches with a Generative Adversarial Network
Improving Image-recognition Edge Caches with a Generative Adversarial Network
Guilherme B. Souza
R. G. Pacheco
R. S. Couto
116
0
0
11 Feb 2022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
158
103
0
11 Nov 2021
Early-exit deep neural networks for distorted images: providing an efficient edge offloading
Early-exit deep neural networks for distorted images: providing an efficient edge offloading
R. G. Pacheco
F. Oliveira
R. S. Couto
48
18
0
20 Aug 2021