LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing

no code implementations • 20 May 2023 • Ronit Das, Tie Luo

However, deep learning models are typically iteratively optimized in a central server with input data gathered from edge devices, and such data transfer between edge devices and the central server impose substantial overhead on the network and incur additional latency and energy consumption.

Anomaly Detection Edge-computing