Incentive Mechanisms in Federated Learning and A Game-Theoretical Approach
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DOI: 10.1109/mnet.112.2100706
Abstract: Federated learning (FL) represents a new machine learning paradigm, utilizing various resources from participants to collaboratively train a global model without exposing the privacy of training data. The learning performance critically depends on various resources… read more here.
Keywords: incentive; game theoretical; federated learning; incentive mechanisms ... See more keywords