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DeFog dataset
The DeFog dataset is a collection of tasks used to evaluate the performance of the DeepFT method. -
DeepFT dataset
The DeepFT dataset is a collection of scheduling decisions and time-series window pairs used to train the DeepFT surrogate model. -
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Real-time video analytics on edge devices for changing scenes remains a difficult task. As edge devices are usually resource-constrained, edge deep neural networks (DNNs) have... -
Efficient Privacy Preserving Edge Computing Framework for Image Classification
The proposed framework is for image classification in edge computing systems. It uses autoencoders to extract critical features from the data and then trains a classifier on the... -
MyDigitalFootprint: an extensive context dataset for pervasive computing appl...
MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge -
ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators
ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators -
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices
Medical image segmentation on edge devices -
HeteroEdge
The dataset used in the paper is a testbed comprising two Unmanned Ground Vehicle (UGVs) and two NVIDIA Jetson devices.
