A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods.
Anika HannemannAli Burak ÜnalArjhun SwaminathanErik BuchmannMete AkgünPublished in: TPS-ISA (2023)
Keyphrases
- cloud computing
- kernel methods
- privacy preserving
- data privacy
- machine learning
- privacy preservation
- learning tasks
- privacy preserving data mining
- multi party
- learning problems
- multiple kernel learning
- support vector machine
- privacy preserving data mining algorithms
- vertically partitioned data
- private data
- kernel function
- feature space
- data perturbation
- support vector
- privacy concerns
- similarity function
- kernel matrix
- privacy guarantees
- learning algorithm
- data mining
- kernel learning
- data sets
- private information
- partitioned data
- horizontally partitioned data