A Privacy-Preserving Federated Learning Approach for Kernel methods.
Anika HannemannAli Burak ÜnalArjhun SwaminathanErik BuchmannMete AkgünPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- kernel methods
- learning problems
- learning tasks
- privacy preservation
- privacy preserving data mining
- multi party
- vertically partitioned data
- multiple kernel
- kernel function
- private information
- learning algorithm
- machine learning
- kernel learning
- kernel matrix
- sensitive information
- data privacy
- support vector machine
- active learning
- preprocessing
- data mining
- secure multiparty computation
- privacy sensitive