Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks.
Cecilia LatotzkeBatuhan BalimTobias GemmekePublished in: ICMLA (2022)
Keyphrases
- energy efficient
- neural network
- wireless sensor networks
- training process
- energy consumption
- sensor networks
- energy efficiency
- data dissemination
- routing protocol
- data aggregation
- multi hop
- base station
- low overhead
- multi core architecture
- multi layer
- data transmission
- response time
- data gathering
- back propagation
- wireless communication
- ad hoc networks
- sensor nodes
- cost effective
- web services