Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning.
Madhureeta DasGaurav BagweMiao PanXiaoyong YuanLan ZhangPublished in: ICMLA (2023)
Keyphrases
- learning algorithm
- reinforcement learning
- automatically learned
- theoretical framework
- supervised learning
- digital libraries
- learning process
- prior knowledge
- probabilistic model
- learned models
- knowledge acquisition
- learning phase
- neural network
- experimental data
- incremental learning
- accurate models
- connectionist networks
- topic models
- learning scheme
- learning analytics
- learning problems
- learning tasks
- conceptual model
- theoretical analysis
- online learning
- case study
- feature selection
- machine learning