A secure distributed machine learning protocol against static semi-honest adversaries.
Maohua SunRuidi YangLei HuPublished in: Appl. Soft Comput. (2021)
Keyphrases
- semi honest
- privacy preserving
- multi party
- machine learning
- secure multi party
- privacy preserving data mining
- secure multi party computation
- data mining
- vertically partitioned data
- secure multiparty computation
- distributed systems
- learning algorithm
- lightweight
- set intersection
- data privacy
- active learning
- distributed data
- sensitive information
- multi agent
- peer to peer
- support vector machine
- pairwise
- feature selection
- group communication
- communication cost
- homomorphic encryption
- scalar product
- knowledge discovery