Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent.
Anis ElgabliChaouki Ben IssaidAmrit S. BediMehdi BennisVaneet AggarwalPublished in: GLOBECOM (2021)
Keyphrases
- energy efficient
- meta learning
- gradient ascent
- wireless sensor networks
- inductive learning
- learning tasks
- energy consumption
- sensor networks
- model selection
- machine learning algorithms
- cross entropy
- expectation maximization
- data mining
- machine learning
- decision trees
- feature selection
- energy efficiency
- metamodel
- base station
- routing protocol
- policy gradient
- sensor nodes
- exponential family
- base classifiers
- learning algorithm
- routing algorithm
- distributed systems
- wireless networks
- data streams
- data analysis
- learning process
- machine learning methods