Squeezing More Utility via Adaptive Clipping on Differentially Private Gradients in Federated Meta-Learning.
Ning WangYang XiaoYimin ChenNing ZhangWenjing LouY. Thomas HouPublished in: ACSAC (2022)
Keyphrases
- meta learning
- differentially private
- differential privacy
- inductive learning
- learning tasks
- machine learning algorithms
- model selection
- privacy preserving
- privacy preservation
- machine learning
- decision trees
- data mining
- feature selection
- data sets
- knowledge acquisition
- metamodel
- base classifiers
- data sharing
- database
- reinforcement learning
- data privacy
- classification accuracy
- learning process