Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training.
Dario LazzaroAntonio Emanuele CinàMaura PintorAmbra DemontisBattista BiggioFabio RoliMarcello PelilloPublished in: ICIAP (2) (2023)
Keyphrases
- energy aware
- learning models
- energy consumption
- wireless sensor networks
- energy efficiency
- routing protocol
- energy efficient
- sensor networks
- total energy
- loss function
- data center
- machine learning
- high performance computing
- learning tasks
- semi supervised learning
- machine learning algorithms
- learning algorithm
- routing algorithm
- conditional random fields
- classification models
- base station
- training set
- data sets
- supervised learning
- data transmission
- smart home
- learning problems
- residual energy
- network lifetime
- reduce the energy consumption
- network topology
- ad hoc networks
- sensor nodes
- graphical models
- active learning
- learning process
- support vector
- training data
- decision trees