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Published in 2021 at "Journal of Public Economics"
DOI: 10.1016/j.jpubeco.2020.104351
Abstract: Abstract We study experimentally the decision of an individual to steal or pay for an object that is produced at a cost by another individual. We consider two conditions. In the first condition, subjects caught…
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Keywords:
physiological evidence;
shaming incentive;
condition;
mechanism stealing ... See more keywords
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Published in 2020 at "International Journal of Production Research"
DOI: 10.1080/00207543.2019.1693658
Abstract: This paper considers an incentive mechanism coupled with a set of collaborative rules in a decentralised collaborative transport network (CTN), taking the Physical Internet as an example. The goal of the proposed mechanism is to…
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Keywords:
decentralised collaborative;
network;
mechanism;
transport network ... See more keywords
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Published in 2023 at "Open House International"
DOI: 10.1108/ohi-01-2023-0010
Abstract: PurposeThe green building (GB) market is maturing after years of practice; therefore, incentives for promoting GB should be adapted to reflect the market transformation. Adapting incentives can positively influence stakeholders' motives, which in turn change…
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Keywords:
south;
incentive mechanism;
green building;
incentive mechanisms ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2962212
Abstract: As an emerging paradigm that leverages the wisdom and efforts of the crowd, mobile crowdsensing has shown its great potential to collect distributed data. The crowd may incur such costs and risks as energy consumption,…
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Keywords:
privacy preserving;
continuous crowdsensing;
preserving incentive;
mechanism ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2989406
Abstract: Crowdsensing high quality data relies on the efficient participation of users. However, the existing incentive mechanism is unable to take into account the dual requirements of both quantity and quality of users’ participation. In this…
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Keywords:
incentive mechanism;
reputation;
task selection;
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230695
Abstract: In this paper, we investigate the aggregated model quality maximization problem in hierarchical federated learning, the decision problem of which is proved NP-complete. We develop the mechanism MaxQ to maximize the sum of local model…
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Keywords:
quality;
incentive mechanism;
federated learning;
stage ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3232440
Abstract: Pervasive new era applications are expected to involve massive amount of data to implement intelligent distributed frameworks based on machine learning, supported by sixth generation (6G) networks technology to offer fast and reliable communications. Federated…
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Keywords:
incentive mechanism;
federated learning;
d2d aided;
mechanism ... See more keywords
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Published in 2019 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2913000
Abstract: The Internet of Vehicles (IoV) is composed of road side units (RSUs) nodes and vehicle nodes. Because the limited bandwidth of RSUs can not satisfy massive requests from vehicle nodes, offloading technology is proposed. Generally,…
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Keywords:
endowment effect;
incentive mechanism;
allocation;
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Published in 2019 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2923805
Abstract: Crowdsensing is a system which collects sensing data through recruiting a large number of participants to perform the sensing tasks. It consists of two parts: 1) the platform side and 2) the user side. The…
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Keywords:
utility;
decoy effect;
mechanism;
preference ... See more keywords
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Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3047105
Abstract: With the rise of the Internet of Things (IoT), the number of mobile devices with sensing and computing capabilities increases dramatically, paving the way toward an emerging paradigm, i.e., crowdsensing that facilitates the interactions between…
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Keywords:
incentive mechanism;
tex math;
inline formula;
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Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3050163
Abstract: Federated learning is a promising tool in the Internet-of-Things (IoT) domain for training a machine learning model in a decentralized manner. Specifically, the data owners (e.g., IoT device consumers) keep their raw data and only…
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Keywords:
private federated;
federated learning;
model;
incentive mechanism ... See more keywords