Results 21 to 30 of about 8,517,424 (383)
Partial Strategyproofness: Relaxing Strategyproofness for the Random Assignment Problem [PDF]
, 2020 We present partial strategyproofness, a new, relaxed notion of strategyproofness for studying the incentive properties of non-strategyproof assignment mechanisms.
Mennle, Timo, Seuken, Sven
core +2 more sources
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning [PDF]
IEEE Transactions on Parallel and Distributed Systems, 2022 Blockchain-based federated learning (BCFL) has recently gained tremendous attention because of its advantages, such as decentralization and privacy protection of raw data.
Zhilin Wang +4 more
semanticscholar +1 more source
A Location-Based Crowdsensing Incentive Mechanism Based on Ensemble Learning and Prospect Theory
Mathematics, 2023 Crowdsensing uses the participants’ smart devices to form a new perception network. The coverage of crowdsensing’s tasks determines the quality of services. Under the constraint of budget and the number of participants, the platform needs to increase the
Jiaqi Liu +4 more
doaj +1 more source
Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality [PDF]
ICC 2022 - IEEE International Conference on Communications, 2021 The Metaverse is regarded as the next-generation Internet paradigm that allows humans to play, work, and socialize in an alternative virtual world with an immersive experience, for instance, via head-mounted displays for Virtual Reality (VR) rendering ...
Minrui Xu +5 more
semanticscholar +1 more source
IEEE Access, 2020 Mobile crowdsourcing (MCS) has shown great potential in received signal strength (RSS) fingerprint collection, in which an incentive mechanism plays a critical role to motivate users' participation.
Wei Li, Cheng Zhang, Yoshiaki Tanaka
doaj +1 more source
Staged Incentive and Punishment Mechanism for Mobile Crowd Sensing
Sensors, 2018 Having an incentive mechanism is crucial for the recruitment of mobile users to participate in a sensing task and to ensure that participants provide high-quality sensing data. In this paper, we investigate a staged incentive and punishment mechanism for
Dan Tao, Shan Zhong, Hong Luo
doaj +1 more source
Bayesian incentive compatible parametrization of mechanisms [PDF]
Journal of Mathematical Economics, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weber, Thomas A., Bapna, Abhishek
openaire +2 more sources
AI Magazine, 2010 Much of AI is concerned with the design of intelligent agents. A complementary challenge is to understand how to design “rules of encounter” (Rosenschein and Zlotkin 1994) by which to promote simple, robust and beneficial interactions between multiple intelligent agents.
Parkes, David +3 more
openaire +4 more sources
Incentive Mechanism Design for Federated Learning and Unlearning
ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2023 To protect users' right to be forgotten in federated learning, federated unlearning aims at eliminating the impact of leaving users' data on the global learned model.
Ningning Ding +3 more
semanticscholar +1 more source
Research on the incentive mechanism of trusted transactions based on blockchain
网络与信息安全学报With the development of cloud-network resource transaction technology based on smart contracts, computing power transactions have reached a multi-party scale, seriously affecting the efficiency and credibility of computing network resource transactions ...
ZHANG Guiyu +6 more
doaj +3 more sources