Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent.
Anis ElgabliChaouki Ben IssaidAmrit S. BediMehdi BennisVaneet AggarwalPublished in: CoRR (2021)
Keyphrases
- multi label
- meta learning
- energy efficient
- gradient ascent
- learning tasks
- wireless sensor networks
- sensor networks
- energy consumption
- graph cuts
- inductive learning
- expectation maximization
- energy efficiency
- decision trees
- cross entropy
- machine learning algorithms
- feature selection
- exponential family
- base station
- model selection
- policy gradient
- data mining
- routing protocol
- distributed systems
- machine learning
- test data
- knowledge acquisition
- databases