Generic Approach to Privacy Preservation over Portioned Data Project Abstract

Generic Approach to privacy preservation over portioned data project explains about to restrict the chances of privacy of portioned data.

In this system, we improve multiple-party privacy-preserving using gradient descent methods (PPGD) and also least square approach for different parties.

Improving data security had become an important factor in incorporating security into data mining and machine learning algorithms.

You can find more information on this topic in the reference documents.

download Generic Approach to privacy preservation over partitioned data projects reference document.

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