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Found 4 papers, 2 papers with code
Improving Image-recognition Edge Caches with a Generative Adversarial Network
The main challenge for this cache is to verify if the received image matches a stored one.
Early-exit deep neural networks for distorted images: providing an efficient edge offloading
The branches estimate the accuracy for a given input.
Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks
This work shows that the employment of a miscalibrated early-exit DNN for offloading via model partitioning can significantly decrease inference accuracy.
Inference Time Optimization Using BranchyNet Partitioning
Deep Neural Network (DNN) applications with edge computing presents a trade-off between responsiveness and computational resources.
Distributed, Parallel, and Cluster Computing Signal Processing
