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Data valuation using Shapley Values

Mavrogiorgis Dimitrios

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URI: http://purl.tuc.gr/dl/dias/B9F0E372-8F4C-4665-8326-2301DE22102F
Year 2024
Type of Item Diploma Work
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Bibliographic Citation Dimitrios Mavrogiorgis, "Data valuation using Shapley Values", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2024 https://doi.org/10.26233/heallink.tuc.99027
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Summary

The main purpose of the current work is to calculate the Data Shapley value of specific data sets by leveraging the mechanisms of differential privacy algorithms to ensure some guarantee of privacy. To fulfil this objective, the current thesis first studies and presents the theoretical foundation of the Shapley value calculations. Calculation methods, such as the Truncated Monte Carlo - Shapley, Gradient - Shapley and Group - Shapley are studied and analyzed, while at the same time this thesis proposes how new approaches guarantee the correctness and accuracy of calculations without any information leakage.

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