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A Novel Joint Dataset and Incentive Management Mechanism for Federated Learning Over MEC
2022
IEEE Access
In this study, to reduce the energy consumption for the federated learning (FL) participation of mobile devices (MDs), we design a novel joint dataset and incentive management mechanism for FL over mobile edge computing (MEC) systems. We formulate a Stackelberg game to model and analyze the behaviors of FL participants, referred to as MDs, and FL service providers, referred to as MECs. In the proposed game, each MEC is the leader, whereas the MDs are followers. As the leader, to maximize its
doi:10.1109/access.2022.3156045
fatcat:aw65kx76mrcoxjdwhswirerbxi