A systematic review of federated learning incentive mechanisms and associated security challenges
In response to various privacy risks, researchers and practitioners have been exploring
different paradigms that can leverage the increased computational capabilities of consumer …
different paradigms that can leverage the increased computational capabilities of consumer …
Semantic-aware sensing information transmission for metaverse: A contest theoretic approach
With the advancement of network and computer technologies, virtual cyberspace keeps
evolving, and Metaverse is the main representative. As an irreplaceable technology that …
evolving, and Metaverse is the main representative. As an irreplaceable technology that …
A stackelberg game approach toward socially-aware incentive mechanisms for mobile crowdsensing
Mobile crowdsensing has shown great potential in addressing large-scale data sensing
problems by allocating sensing tasks to pervasive mobile users. The mobile users will …
problems by allocating sensing tasks to pervasive mobile users. The mobile users will …
Incentive mechanism for privacy-aware data aggregation in mobile crowd sensing systems
The recent proliferation of human-carried mobile devices has given rise to mobile crowd
sensing (MCS) systems that outsource the collection of sensory data to the public crowd …
sensing (MCS) systems that outsource the collection of sensory data to the public crowd …
Inception: Incentivizing privacy-preserving data aggregation for mobile crowd sensing systems
The recent proliferation of human-carried mobile devices has given rise to mobile crowd
sensing (MCS) systems that outsource the collection of sensory data to the public crowd …
sensing (MCS) systems that outsource the collection of sensory data to the public crowd …
Promoting cooperation by the social incentive mechanism in mobile crowdsensing
An incentive mechanism is important for mobile crowdsensing to recruit sufficient
participants to complete large-scale sensing tasks with high quality. Previous incentive …
participants to complete large-scale sensing tasks with high quality. Previous incentive …
From one to crowd: A survey on crowdsourcing-based wireless indoor localization
Wireless indoor localization has attracted growing research interest in the mobile computing
community for the last decade. Various available indoor signals, including radio frequency …
community for the last decade. Various available indoor signals, including radio frequency …
Blockchain-enabled federated learning with mechanism design
Federated learning (FL) is a promising decentralized deep learning technique that allows
users to collaboratively update models without sharing their own data. However, due to its …
users to collaboratively update models without sharing their own data. However, due to its …
Improving IoT data quality in mobile crowd sensing: A cross validation approach
Data quality, or sometimes referred to as data credibility, is a critical issue in mobile crowd
sensing (MCS) and more generally Internet of Things (IoT). While candidate solutions, such …
sensing (MCS) and more generally Internet of Things (IoT). While candidate solutions, such …
Sustainable incentives for mobile crowdsensing: Auctions, lotteries, and trust and reputation systems
Proper incentive mechanisms are critical for mobile crowdsensing systems to motivate
people to actively and persistently participate. This article provides an exposition of design …
people to actively and persistently participate. This article provides an exposition of design …