Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent.
Richeng JinXiaofan HeHuaiyu DaiPublished in: CoRR (2018)
Keyphrases
- differentially private
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- differential privacy
- step size
- random forests
- support vector machine
- regularization parameter
- online algorithms
- importance sampling
- multiple kernel learning
- weight vector
- cost function
- peer to peer
- image restoration
- privacy preserving
- machine learning
- convergence rate
- probability distribution
- probabilistic model
- pairwise
- information retrieval