Bowen Zhao

When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System

2021 · arXiv (Cornell University)

Mobile crowdsensing (MCS) is an emerging sensing data collection pattern with scalability, low deployment cost, and distributed characteristics. Traditional MCS systems suffer from privacy concerns and fair reward distribution. Moreover, existing privacy-preserving MCS solutions usually …