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

30 October 2020

Osvaldo Simeone

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

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Title
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 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 Di Xu Xiang He Tonghua Su Zhongjie Wang 94 7 0 20 Apr 2023
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 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 Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 155 103 0 11 Nov 2021
Early-exit deep neural networks for distorted images: providing an efficient edge offloading R. G. Pacheco F. Oliveira R. S. Couto 46 18 0 20 Aug 2021