Incentive mechanisms for federated learning: From economic and game theoretic perspective

X Tu, K Zhu, NC Luong, D Niyato… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Federated learning (FL) becomes popular and has shown great potentials in training large-
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …

Hybrid blockchain-based resource trading system for federated learning in edge computing

S Fan, H Zhang, Y Zeng, W Cai - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
By training a machine learning algorithm across multiple decentralized edge nodes,
federated learning (FL) ensures the privacy of the data generated by the massive Internet-of …

Incentive mechanisms for crowdsensing: Crowdsourcing with smartphones

D Yang, G Xue, X Fang, J Tang - IEEE/ACM transactions on …, 2015 - ieeexplore.ieee.org
Smartphones are programmable and equipped with a set of cheap but powerful embedded
sensors, such as accelerometer, digital compass, gyroscope, GPS, microphone, and …

Crowdsourcing to smartphones: Incentive mechanism design for mobile phone sensing

D Yang, G Xue, X Fang, J Tang - Proceedings of the 18th annual …, 2012 - dl.acm.org
Mobile phone sensing is a new paradigm which takes advantage of the pervasive
smartphones to collect and analyze data beyond the scale of what was previously possible …

Selling privacy at auction

A Ghosh, A Roth - Proceedings of the 12th ACM conference on …, 2011 - dl.acm.org
We initiate the study of markets for private data, through the lens of differential privacy.
Although the purchase and sale of private data has already begun on a large scale, a theory …

An incentive mechanism with privacy protection in mobile crowdsourcing systems

Y Wang, Z Cai, G Yin, Y Gao, X Tong, G Wu - Computer Networks, 2016 - Elsevier
In order to improve the efficiency and utility of mobile crowdsourcing systems, this paper
proposes an incentive mechanism with privacy protection in mobile crowdsourcing systems …

A budget feasible incentive mechanism for weighted coverage maximization in mobile crowdsensing

Z Zheng, F Wu, X Gao, H Zhu, S Tang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Mobile crowdsensing is a novel paradigm to collect sensing data and extract useful
information about regions of interest. It widely employs incentive mechanisms to recruit a …

Multi-operator dynamic spectrum sharing for wireless communications: A consortium blockchain enabled framework

Z Li, W Wang, Q Wu, X Wang - IEEE Transactions on Cognitive …, 2022 - ieeexplore.ieee.org
To enable secure and efficient dynamic spectrum sharing (DSS) with guaranteed revenue
and quality of service (QoS) in future wireless communications, we present a consortium …

Hiring a team from social network: Incentive mechanism design for two-tiered social mobile crowdsourcing

J Xu, Z Luo, C Guan, D Yang, L Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile crowdsourcing has become an efficient paradigm for performing large scale tasks.
The incentive mechanism is important for the mobile crowdsourcing system to stimulate …

Learning on a budget: posted price mechanisms for online procurement

A Badanidiyuru, R Kleinberg, Y Singer - … of the 13th ACM conference on …, 2012 - dl.acm.org
We study online procurement markets where agents arrive in a sequential order and a
mechanism must make an irrevocable decision whether or not to procure the service as the …