2023Journal of Information Security and Applications

FCH, an incentive framework for data-owner dominated federated learning

Xu, Han, Nanda, Priyadarsi, Liang, Jie, and He, Xiangjian

IncentiveProcess (computing)ClearingComputer scienceFederated learningInformation asymmetryBusinessKnowledge managementRisk analysis (engineering)MicroeconomicsEconomicsFinanceArtificial intelligence

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FCH, an incentive framework for data-owner dominated federated learning

Keywords