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Locally differentially private distributed algorithms for set intersection and union
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DOI：10.1007/s11432-018-9899-8.png)
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Conclusion This study designed schemes to obtain distributed multiset intersection and union by exploiting LDP. In the schemes, the private items in each data owner's set were sanitized to satisfy epsilon-LDP, and meanwhile the collector could derive a high-accuracy intersection and union from noisy sets. Through theoretical analysis and experiments, we presented that the proposed schemes enjoy good utility and strong robustness.
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