Hardware-Aware Pruning for Efficient Inference on Embedded Devices
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3628133
Abstract: With more powerful yet efficient embedded devices and accelerators being available for Deep Neural Networks (DNNs), machine learning is becoming an integral part of edge computing. In application scenarios with real-time requirements and multiple sensors… read more here.
Keywords: pruning efficient; embedded devices; aware pruning; latency ... See more keywords
Quantization-Aware Pruning Criterion for Industrial Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3070517
Abstract: In this study, we propose a simple and effective quantization-aware neural network pruning method to prune and quantize deep neural networks and then run them on lightweight and cost-effective embedded industrial devices. The proposed pruning… read more here.
Keywords: pruning method; pruning criterion; quantization; aware pruning ... See more keywords