Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs.
Haifeng WenHong XingOsvaldo SimeonePublished in: CoRR (2024)
Keyphrases
- meta learning
- fine tuning
- trade off
- fine tuned
- learning tasks
- meta knowledge
- inductive learning
- model selection
- decision trees
- machine learning algorithms
- training set
- feature selection
- machine learning
- e learning
- supervised learning
- base classifiers
- real world
- test set
- learning algorithm
- metamodel
- graph cuts
- markov random field
- data mining
- data sets