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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