Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks
This paper proposes a scalable, local privacy preserving algorithm for distributed Peer-to-Peer (P2P) data aggregation useful for many advanced data mining/analysis tasks such as average/sum computation, decision tree induction, feature selection, and more.
Unlike most multi-party privacy-preserving data mining …