In recent years, the research field of data collection under local differential privacy (LDP) has
expanded its focus from elementary data types to include more complex structural data, such …

Federated analytics (FA) over spatial data with local differential privacy (LDP) has attracted
considerable research attention recently. Existing solutions for this problem mostly employ a …

We propose a novel Bayesian approach for the adaptive and online estimation of the
frequency distribution of a finite number of categories under the local differential privacy …

In the Internet era, data mining is an important means to seize users. However, data exists
on different platforms, which are incompatible with each other, and user privacy is easily …

Frequency estimation plays a critical role in many applications involving personal and
private categorical data. Such data are often collected sequentially over time, making it …