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Found 4 papers, 2 papers with code
Incentives in Private Collaborative Machine Learning
Finally, the mediator rewards each party with different posterior samples of the model parameters.
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
Data valuation is concerned with determining a fair valuation of data from data sources to compensate them or to identify training examples that are the most or least useful for predictions.
Probably Approximate Shapley Fairness with Applications in Machine Learning
We observe that the fairness guarantees of exact SVs are too restrictive for SV estimates.
Collaborative Machine Learning with Incentive-Aware Model Rewards
This paper proposes to value a party's reward based on Shapley value and information gain on model parameters given its data.
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