Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance.
Xin GuGautam KamathZhiwei Steven WuPublished in: CoRR (2023)
Keyphrases
- machine learning
- distance measure
- machine learning methods
- distance function
- learning algorithm
- knowledge acquisition
- low dimensional
- feature space
- artificial intelligence
- machine learning algorithms
- feature selection
- pattern recognition
- text mining
- computational intelligence
- learning systems
- explanation based learning
- feature extraction
- high dimensional
- euclidean distance
- computer vision
- kernel methods
- inductive learning
- subspace clustering
- dimensionality reduction
- edge detection
- gradient information
- subspace learning
- gradient method
- gradient direction
- distance metric
- privacy preserving
- similarity search
- decision trees
- high dimensional data
- reinforcement learning
- neural network
- natural language processing
- information extraction
- active learning