Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning.
Zachary CharlesJakub KonecnýPublished in: AISTATS (2021)
Keyphrases
- meta learning
- learning tasks
- trade off
- inductive learning
- meta knowledge
- learning process
- reinforcement learning
- learning algorithm
- machine learning
- data mining
- real world
- database systems
- bayesian networks
- feature selection
- database
- active learning
- classification accuracy
- model selection
- unsupervised learning
- machine learning algorithms