In this paper, we propose an aggregation scheme for histogram estimation, wherein participants can publish their data at personalized differential-privacy ...

In this paper, we propose an aggregation scheme for histogram estimation, wherein participants can publish their data at personalized differential-privacy ...

Jul 11, 2016 · In this paper, we study the problem of privacy-preserving weighted histogram aggregation, and propose a new local differential-private mechanism ...

This paper proposes a novel personalized local differential privacy preservation scheme for smart homes, which retains desirable utility while providing ...

Abstract-The aggregation of residents' private data drives improvements in the smart homes, however it comes with compromising on privacy.

An adaptive data collection scheme is proposed to realize personalized privacy preservation while achieving higher data utility.

2021. Personalized privacy-preserving data aggregation for histogram estimation. S Wang, L Huang, M Tian, W Yang, H Xu, H Guo. 2015 IEEE Global Communications ...

Sep 15, 2024 · Abstract. We present Nebula, a system for differential private histogram estimation of data distributed among clients.

The paper proposes a federated learning approach for frequency histogram estimation in a distributed setting. The proposed approach relies on first clustering ...

Wang et al. (2015) proposed the personalized privacy preserving data aggregation based on LDP to estimate histogram, in which it used the RAPPOR method. Chen et ...