4 papers
Improving Image-recognition Edge Caches with a Generative Adversarial Network
Guilherme B. Souza, Roberto G. Pacheco, Rodrigo S. Couto
Image recognition is an essential task in several mobile applications. For instance, a smartphone can process a landmark photo to gather more information about its location. If the…
Early-exit deep neural networks for distorted images: providing an efficient edge offloading
Roberto G. Pacheco, Fernanda D. V. R. Oliveira, Rodrigo S. Couto
Edge offloading for deep neural networks (DNNs) can be adaptive to the input's complexity by using early-exit DNNs. These DNNs have side branches throughout their architecture, all…
Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks
Roberto G. Pacheco, Rodrigo S. Couto, Osvaldo Simeone
Mobile devices can offload deep neural network (DNN)-based inference to the cloud, overcoming local hardware and energy limitations. However, offloading adds communication delay, t…
Inference Time Optimization Using BranchyNet Partitioning
Roberto G. Pacheco, Rodrigo S. Couto
Deep Neural Network (DNN) applications with edge computing presents a trade-off between responsiveness and computational resources. On one hand, edge computing can provide high res…