Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired By Graph Regularization.
Harlin LeeAndrea L. BertozziJelena KovacevicYuejie ChiPublished in: ICASSP (2022)
Keyphrases
- privacy preserving
- linear regression
- multi task
- nonlinear regression
- square loss
- regression problems
- multi task learning
- least squares
- vertically partitioned data
- learning tasks
- regression methods
- metric learning
- ridge regression
- sparse learning
- gaussian processes
- learning problems
- feature selection
- transfer learning
- multi class
- information gain
- regression method
- machine learning algorithms
- elastic net
- support vector
- linear model
- multiple kernel learning
- loss function