Sep 27, 2021 · In this paper, we focus on a basic task of calculating the mean value over a single numeric attribute with PLDP. Based on the previous schemes ...
In this paper, we focus on a basic task of calculating the mean value over a single numeric attribute with PLDP. Based on the previous schemes for mean ...
A basic task of calculating the mean value over a single numeric attribute with PLDP is focused on, which shows the optimality of PWP in the low privacy ...
Based on the previous schemes for mean estimation under LDP, we employ PLDP model to design novel schemes. (LAP, DCP, PWP) to provide personalized privacy for ...
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Jan 13, 2024 · In this paper, we focus on a basic task of calculating the mean value over a single numeric attribute with PLDP. Based on the previous schemes ...
Jun 26, 2023 · Mean estimation over numeric data with personalized local differential privacy. Abstract. The fast development of the Internet and mobile ...
An efficient approach, private estimation of numeric aggregates (PENA), that guarantees PLDP of numeric data while computing an aggregate (e.g., the average ...
The rest paper is organized as follows. Section 2 theoret- ically summarizes the LDP. The diverse LDP mechanisms for frequency estimation, mean estimation and ...
Numerical results show that for a considered scenario the proposed approach converges much faster than a fully local approach where agents do not share data, ...
Through theoretical analysis, it is demonstrated that the method satisfies the local differential privacy requirement and that mean estimation is unbiased.