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The Shapley value (SV) and Least core (LC) are classic methods in cooperative game theory for cost/profit sharing problems.
Efficient task-specific data valuation for nearest neighbor algorithms
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Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, and Dawn Song · 1911
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On the complexity of cooperative solution concepts
Xiaotie Deng and Christos H Papadimitriou · 1994
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Note on the computational complexity of least core concepts for min-cost spanning tree games
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Combinatorial auctions with decreasing marginal utilities
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Polynomial calculation of the shapley value based on sampling
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Data shapley: Equitable valuation of data for machine learning
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A principled approach to data valuation for federated learning
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If you like shapley then you’ll love the core, 2020
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Towards efficient data valuation based on the shapley value
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, and Costas J Spanos
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