An information-free ascending quotation protocol for data retention in machine unlearning achieves at least 99% of the welfare of personalized pricing while needing no private user parameters.
Incentive mech- anism for reliable federated learning: A joint optimization approach to combining reputation and contract theory
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The Price of Ignorance: Information-Free Quotation for Data Retention in Machine Unlearning
An information-free ascending quotation protocol for data retention in machine unlearning achieves at least 99% of the welfare of personalized pricing while needing no private user parameters.