Scheduling Machine Learning Compressible Inference Tasks with Limited Energy Budget.
Tiago Da Silva BarrosDavide FerréFrédéric GiroireRamon Aparicio-PardoStephane PerennesPublished in: ICPP (2024)
Keyphrases
- machine learning
- energy minimization
- learning algorithm
- transfer learning
- energy consumption
- reinforcement learning
- data mining
- bayesian inference
- limited memory
- feature selection
- lower bound
- inference process
- neural network
- knowledge acquisition
- machine learning algorithms
- computer vision
- machine learning approaches
- artificial intelligence
- flexible manufacturing systems
- round robin
- compressive sensing
- energy saving
- computational grids
- belief networks
- learning tasks
- machine learning methods
- learning systems
- natural language processing
- supervised learning
- wireless sensor networks
- pattern recognition
- bayesian networks