Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training.
Dario LazzaroAntonio Emanuele CinàMaura PintorAmbra DemontisBattista BiggioFabio RoliMarcello PelilloPublished in: CoRR (2023)
Keyphrases
- energy aware
- learning models
- energy consumption
- wireless sensor networks
- energy efficiency
- routing protocol
- total energy
- sensor networks
- machine learning
- energy efficient
- data center
- high performance computing
- semi supervised learning
- learning tasks
- learning algorithm
- routing algorithm
- loss function
- learning problems
- classification models
- data transmission
- machine learning algorithms
- base station
- conditional random fields
- training set
- sensor nodes
- residual energy
- data sets
- smart home
- multi hop
- supervised learning
- reduce the energy consumption
- network lifetime
- massively parallel
- power consumption