Mean Estimation with User-Level Privacy for Spatio-Temporal IoT Datasets

April 2024

Mean Estimation with User-Level Privacy for Spatio-Temporal IoT Datasets

Authors: P. Gupta, V. A. Rameshwar, A. Tandon and N. Chakraborty

This paper considers the problem of the private release of sample means of speed values from traffic datasets. Our key contribution is the development of user-level differentially private algorithms that incorporate carefully chosen parameter values to ensure low estimation errors on real-world datasets, while ensuring privacy. We test our algorithms on ITMS (Intelligent Traffic Management System) data from an Indian city, where the speeds of different buses are drawn in a potentially non-i.i.d. manner from an unknown distribution.

Journal/Conference

2024 International Conference on Signal Processing and Communications (SPCOM)