This repository aims at introducing the VDDIB-SR method, which can effectively reduce the communication overhead in multi-device edge inference. This method is proposed in our paper "Task-Oriented Communication for Multi-Device Cooperative Edge Inference", which is accepted to IEEE Transaction on Wireless Communication.
We release the code to reproduce some experimental results. Particularly, we focus on the multi-view image classification task on the MNIST dataset and the multi-view object recognition task on the ModelNet40 dataset. The codes for these two tasks are in the folder ./Multi-view_Image_Classification and folder ./Multi-view_Object_Recognition, respectively.
Pytorch 1.11.0
Torchvision 0.12.0
scikit-image 0.19.3
MNIST
ModelNet40
@ARTICLE{9837474,
author={Shao, Jiawei and Mao, Yuyi and Zhang, Jun},
journal={IEEE Transactions on Wireless Communications},
title={Task-Oriented Communication for Multi-Device Cooperative Edge Inference},
year={2022},
doi={10.1109/TWC.2022.3191118}}