Publication Type
Conference Paper
Book Title
Proceedings of the AAAI Conference on Artificial Intelligence
Publication Date
Page Numbers
23642 to 23643
Issue
21
Publisher Location
United States of America
Conference Name
Thirty-Eighth AAAI Conference on Artificial Intelligence
Conference Location
Vancouver, Canada
Conference Sponsor
Association for the Advancement of Artificial Intelligence
Conference Date
-
Abstract
As data privacy issues grow, finding the best privacy preservation algorithm for each situation is increasingly essential. This research has focused on understanding the frequency oracles (FO) privacy preservation algorithms. FO conduct the frequency estimation of any value in the domain. The aim is to explore how each can be best used and recommend which one to use with which data type. We experimented with different data scenarios and federated learning settings. Results showed clear guidance on when to use a specific algorithm.
