Incentive Compatible Distributed Data Mining

Social Computing(2010)

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摘要
In this paper, we propose a game-theoretic mechanism to encourage truthful data sharing for distributed data mining. Our proposed mechanism uses the classic Vickrey-Clarke-Groves (VCG) mechanism and does not rely on the ability to verify the data of the parties participating in the distributed data mining protocol. Instead, we incentivize truth telling based solely on the data mining result. Under reasonable assumptions, we prove that these mechanisms are incentive compatible for distributed data mining. In addition, through extensive experimentation, we show that they are applicable in practice.
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关键词
incentive compatible,incentivize truth,data mining,reasonable assumption,game-theoretic mechanism,truthful data,classic vickrey-clarke-groves,proposed mechanism,data mining result,extensive experimentation,data mining protocol,incentive compatibility,computational modeling,cost accounting,data models,mechanism design,accuracy,game theory,cryptography,games
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