RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization.
Ce FengParv VenkitasubramaniamPublished in: CoRR (2024)
Keyphrases
- machine learning
- stochastic gradient descent
- machine learning methods
- reinforcement learning
- knowledge acquisition
- learning algorithm
- matrix factorization
- information extraction
- learning tasks
- text classification
- machine learning algorithms
- privacy preserving
- loss function
- step size
- noisy data
- artificial intelligence
- pattern recognition
- decision trees
- statistical methods
- natural language processing
- least squares
- support vector machine
- inductive learning
- knowledge representation
- machine learning approaches
- active learning