Flexible Contribution Estimation Methods for Horizontal Federated Learning.
Xiangjing HuCongjian LuoDun ZengZenglin XuPing GuoIrwin KingPublished in: IJCNN (2023)
Keyphrases
- learning process
- learning systems
- computational cost
- learning algorithm
- learned models
- empirical studies
- benchmark datasets
- learning models
- density estimation
- qualitative and quantitative
- statistical methods
- discriminative learning
- estimation accuracy
- monte carlo simulation
- neural nets
- learning problems
- significant improvement
- machine learning methods
- neural network
- online learning
- data mining techniques
- supervised learning
- reinforcement learning