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On universal features for high-dimensional learning and inference,

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cs.IT 1

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2025 1

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UNVERDICTED 1

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Local Information-Theoretic Security via Euclidean Geometry

cs.IT · 2025-10-15 · unverdicted · novelty 6.0

The work derives an approximate local secrecy capacity and defines secret local contraction coefficients as largest generalized eigenvalues of channel matrix pencils, obtained via local Euclidean geometry approximations to the wiretap channel optimization problem.

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  • Local Information-Theoretic Security via Euclidean Geometry cs.IT · 2025-10-15 · unverdicted · none · ref 50

    The work derives an approximate local secrecy capacity and defines secret local contraction coefficients as largest generalized eigenvalues of channel matrix pencils, obtained via local Euclidean geometry approximations to the wiretap channel optimization problem.