65 citations · 134 across the 5 of their papers we have counts for
5 papers
Fair and Differentially Private Distributed Frequency Estimation
Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam +2
In order to remain competitive, Internet companies collect and analyse user data for the purpose of improving user experiences. Frequency estimation is a widely used statistical to…
Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture
Mengmeng Yang, Ivan Tjuawinata, Kwok Yan Lam +2
Crowdsourcing plays an essential role in the Internet of Things (IoT) for data collection, where a group of workers is equipped with Internet-connected geolocated devices to collec…
Local Differential Privacy and Its Applications: A Comprehensive Survey
Mengmeng Yang, Lingjuan Lyu, Jun Zhao +2
With the fast development of Information Technology, a tremendous amount of data have been generated and collected for research and analysis purposes. As an increasing number of us…
Local Differential Privacy based Federated Learning for Internet of Things
Yang Zhao, Jun Zhao, Mengmeng Yang +5
Internet of Vehicles (IoV) is a promising branch of the Internet of Things. IoV simulates a large variety of crowdsourcing applications such as Waze, Uber, and Amazon Mechanical Tu…
BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy
Lin Sun, Xiaojun Ye, Jun Zhao +2
Local differential privacy (LDP) has received much interest recently. In existing protocols with LDP guarantees, a user encodes and perturbs his data locally before sharing it to t…