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Since γ(K−1 2 ) =γ(K+1 2 ), 2γ(K− 1 2 ) = ( γ(K− 1 2 ) +γ(K + 1 2 ) ) (113) = ( 1− 2h(K− 1 2 ) + 2h(K + 1 2 )− 1 ) (114) = 2h(K + 1 2 )− 2h(K− 1 2 ) (115) Hence, following Eq · 2024

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Optimized Tradeoffs for Private Prediction with Majority Ensembling

cs.LG · 2024-11-27 · conditional · novelty 7.0

A data-dependent randomized response algorithm, DaRRM, is shown to subsume standard private majority ensembling and to admit a tractable linear-program optimization of its noise function for improved privacy-utility tradeoffs.

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  • Optimized Tradeoffs for Private Prediction with Majority Ensembling cs.LG · 2024-11-27 · conditional · none · ref 6

    A data-dependent randomized response algorithm, DaRRM, is shown to subsume standard private majority ensembling and to admit a tractable linear-program optimization of its noise function for improved privacy-utility tradeoffs.