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arXivMichael Khavkin, Kichang Lee, Jaeho Jin, JeongGil Ko, Eran TochThu, Sep 3, 2026, 6:43 AM PDT
score 16.7

New method tunes privacy noise to keep AI explanations accurate

Original: Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

Source: arxiv.org

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