102 citations · 177 across the 6 of their papers we have counts for
6 papers
Task Allocation and Mobile Base Station Deployment in Wireless Powered Spatial Crowdsourcing
Yutao Jiao, Ping Wang, Dusit Niyato +3
Wireless power transfer (WPT) is a promising technology to prolong the lifetime of sensor and communication devices, i.e., workers, in completing crowdsourcing tasks by providing c…
Conditional Analysis for Key-Value Data with Local Differential Privacy
Lin Sun, Jun Zhao, Xiaojun Ye +3
Local differential privacy (LDP) has been deemed as the de facto measure for privacy-preserving distributed data collection and analysis. Recently, researchers have extended LDP to…
Security modeling and efficient computation offloading for service workflow in mobile edge computing
Binbin Huang, Zhongjin Lia, Peng Tang +5
It is a big challenge for resource-limited mobile devices (MDs) to execute various complex and energy-consumed mobile applications. Fortunately, as a novel computing paradigm, edge…
Collecting and Analyzing Multidimensional Data with Local Differential Privacy
Ning Wang, Xiaokui Xiao, Yin Yang +5
Local differential privacy (LDP) is a recently proposed privacy standard for collecting and analyzing data, which has been used, e.g., in the Chrome browser, iOS and macOS. In LDP,…
Distributed Clustering in the Anonymized Space with Local Differential Privacy
Lin Sun, Jun Zhao, Xiaojun Ye
Clustering and analyzing on collected data can improve user experiences and quality of services in big data, IoT applications. However, directly releasing original data brings pote…
Locally Differentially Private Data Collection and Analysis
Teng Wang, Jun Zhao, Xinyu Yang +1
Local differential privacy (LDP) can provide each user with strong privacy guarantees under untrusted data curators while ensuring accurate statistics derived from privatized data.…