CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks.
Muhammad Abdullah HanifGiuseppe Maria SardaAlberto MarchisioGuido MaseraMaurizio MartinaMuhammad ShafiquePublished in: CoRR (2022)
Keyphrases
- energy efficient
- convolutional neural networks
- wireless sensor networks
- sensor networks
- energy consumption
- convolutional network
- base station
- energy efficiency
- data dissemination
- multi hop
- data gathering
- data aggregation
- multi core architecture
- routing protocol
- data sets
- low overhead
- routing algorithm
- ad hoc networks
- cost effective