Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning.
Shangchao SuBin LiXiangyang XuePublished in: CoRR (2022)
Keyphrases
- prior knowledge
- learning algorithm
- learning tasks
- learning process
- probabilistic model
- supervised learning
- learning problems
- computational model
- domain models
- data sets
- learning phase
- learning mechanism
- decision theoretic
- learning scheme
- statistical model
- theoretical framework
- learning systems
- active learning
- decision trees
- genetic algorithm
- parameter estimation
- mathematical model
- generative model
- experimental data
- domain independent
- em algorithm
- expectation maximization
- formal model
- learning models
- hidden variables
- cost function
- high level