Linear Regression With Distributed Learning: A Generalization Error Perspective.
Martin HellkvistAyça ÖzçelikkaleAnders AhlénPublished in: IEEE Trans. Signal Process. (2021)
Keyphrases
- linear regression
- distributed learning
- generalization error
- least squares
- cross validation
- upper bound
- model selection
- active learning
- binary classification
- learning algorithm
- training set
- sample complexity
- sample size
- training data
- collaborative learning
- supervised learning
- training error
- regression problems
- linear classifiers
- regression methods
- knowledge integration
- nonlinear regression
- ridge regression
- risk minimization
- subspace information criterion
- boosting algorithms
- machine learning
- cost sensitive
- multi class
- optical flow
- data mining