This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (P2P) data aggregation useful for many advanced data ...

Dec 25, 2018 · This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (P2P) data aggregation useful for many ...

This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (P2P) data aggrega- tion useful for many advanced data ...

... Use OData to open the dataset in tools like Excel or Tableau. This provides a direct connection to the data that can be refreshed on-demand within the ...

A local distributed peer-to-peer algorithm using multi-party optimization based privacy preservation for data mining primitive computation. Loading... Please ...

This paper proposes a scalable, local privacy preserving algorithm for distributed Peer-to-Peer (P2P) data aggregation useful for many advanced data ...

A scalable, local privacy-preserving algorithm for distributed Peer-to-Peer (P2P) data aggregation useful for many advanced data mining/analysis tasks such ...

A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation. IEEE ...

May 8, 2017 · In this paper we develop a local distributed privacy preserving algorithm for feature selection in a large peer-to-peer environment.

A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation. IEEE ...