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NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots
Optical flow estimation on edge devices while ensuring high accuracy. -
Ed-Fed: A generic federated learning framework with resource-aware client sel...
Ed-Fed is a comprehensive and generic FL framework for edge devices with resource-aware client selection for edge devices. -
Fujiļ¬lm UltraISP dataset
A novel MicroISP model designed specifically for edge devices, taking into account their computational and memory limitations. -
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices
Human Activity Recognition (HAR) using wearable and mobile sensors has gained momentum in various fields, such as healthcare, surveillance, education, entertainment. The... -
An On-Device Federated Learning Approach for Cooperative Model Update between...
The proposed on-device federated learning approach is evaluated using three datasets: UAH-DriveSet, Smartphone HAR, and MNIST.
