Factors influencing solvers' behaviors in knowledge-intensive crowdsourcing: A systematic literature review

X Zhang, E Xia, C Shen, J Su - Journal of Theoretical and Applied …, 2022 - mdpi.com
Solver participation plays a critical role in the sustained development of knowledge-
intensive crowdsourcing (KI-C) systems. Extant theory has highlighted numerous factors that …

State-dependent optimal incentive allocation protocols for cooperation in public goods games on regular networks

Z Sun, X Chen, A Szolnoki - IEEE Transactions on Network …, 2023 - ieeexplore.ieee.org
Incentives are often used to promote cooperation in a population of competing agents.
Furthermore, it is a common method to combine both punishment and reward. However …

Incentive-aware autonomous client participation in federated learning

M Hu, D Wu, Y Zhou, X Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Federated learning (FL) emerges as a promising paradigm to enable a federation of clients
to train a machine learning model in a privacy-preserving manner. Most existing works …

Truthful online double auctions for mobile crowdsourcing: An on-demand service strategy

S Liu, Y Yu, L Guo, PL Yeoh, Q Ni… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Double auctions play a pivotal role in stimulating active participation of a large number of
users comprising both task requesters and workers in mobile crowdsourcing. However, most …

An online incentive mechanism for crowdsensing with random task arrivals

G Li, J Cai - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In this article, an online truthful mechanism is designed for mobile crowdsensing systems.
Traditionally, the scenario where participants arrived at the platform in an online manner has …

A Game-Enabled Blockchain Consensus and Incentive Mechanism for Secure and Efficient Mobile Crowdsensing

C Tang, Z Bao, X Cai, F Lin, Z Zhang… - IEEE Systems …, 2023 - ieeexplore.ieee.org
In recent years, mobile crowdsensing has emerged as a key technology for digital city
construction, which acquires sensing data and mining data values with low cost and high …

Zero-determinant strategies under observation errors in repeated games

A Mamiya, G Ichinose - Physical Review E, 2020 - APS
Zero-determinant (ZD) strategies are a novel class of strategies in the repeated prisoner's
dilemma (RPD) game discovered by Press and Dyson. This strategy set enforces a linear …

Incentive strategies for the evolution of cooperation: Analysis and optimization

S Wang, L Liu, X Chen - Europhysics Letters, 2022 - iopscience.iop.org
How to explain why cooperation can emerge in the real society is one of the most
challenging scientific problems. In the past few years, in order to solve the evolutionary …

The “self-bad, partner-worse” strategy inhibits cooperation in networked populations

C Zhang, S Liu, Z Wang, FJ Weissing, J Zhang - Information Sciences, 2022 - Elsevier
The emergence and maintenance of cooperation is a popular topic in studies of information
sciences and evolutionary game theory. In two-player iterated games, memory in terms of …

A misreport-and collusion-proof crowdsourcing mechanism without quality verification

K Li, S Wang, X Cheng, Q Hu - IEEE Transactions on Mobile …, 2021 - ieeexplore.ieee.org
Quality control plays a critical role in crowdsourcing. The state-of-the-art work is not suitable
for crowdsourcing applications that require extensive validation of the tasks quality, since it …