Holo-NN proposes private nearest-neighbor search via compressive sensing
Encrypted queries reduce to one matrix-vector multiply, without FHE bootstrapping, interaction, or a client index.
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Encrypted queries reduce to one matrix-vector multiply, without FHE bootstrapping, interaction, or a client index.
Across 19 datasets, Distance-KNN had the highest mean accuracy at every pool size, with LLM gains only under low label consensus.
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