Multiparty Reach and Frequency Histogram: Private, Secure, and Practical

Consider the setting where multiple parties each hold a multiset of users and the task is to estimate the reach (i.e., the number of distinct users appearing across all parties) and the frequency histogram (i.e., fraction of users appearing a given number of times across all parties). In this work w...

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Auteurs principaux: Ghazi Badih, Kreuter Ben, Kumar Ravi, Manurangsi Pasin, Peng Jiayu, Skvortsov Evgeny, Wang Yao, Wright Craig
Format: article
Langue:EN
Publié: Sciendo 2022
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Accès en ligne:https://doaj.org/article/ee61c3a3b0c04bec81eac61e29c523ec
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