Differential privacy has been a de facto privacy standard in defining privacy and handling
privacy preservation. It has had great success in scenarios of local data privacy and …

Mobile Crowd Sensing (MCS), as a promising sensing paradigm, significantly relies on
wireless communication networks and widely distributed mobile workers to capture data …

A space–air–ground–sea integrated network (SAGSIN) is a promising heterogeneous
network framework for the next generation mobile communications. Moreover, federated …

As Internet of Things (IoT) technology continues to advance at a rapid pace, smart devices
have permeated daily life. Service providers are actively collecting copious numbers of user …

Local differential privacy (LDP for short), as an emerging standard privacy-preserving
technique that is suitable for privacy preserving data analysis, has been widely deployed …

Two of the most significant challenges in decentralized federated learning are resource
allocation and client selection. In order to address certain aspects of these challenges, in …

Differential Privacy (DP)[45] has been known as a gold standard for data privacy. On one
hand, it defines pairwise secrets not to be distinguishable with the bound of a predefined …