Optimized Data Transmission for Radar-Based Edge-Cloud Human Activity Recognition via Quantization

TL;DR
Quantization of the LSTM states of a Split BiRNN model reduces radar data transmission costs for edge-cloud activity recognition while preserving task performance.

Use Google Scholar for full citation

Citation: "Optimized Data Transmission for Radar-Based Edge-Cloud Human Activity Recognition via Quantization." In the proceedings of 2024 21st European Radar Conference (EuRAD), 2024.