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A. Pedrouzo-Ulloa

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#machine learning Preprint Sep 2026

Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation

This work proposes lightweight multi-secret-key protocols for private average aggregation based on RLWE-based Homomorphic Encryption, which substantially reduces ciphertext expansion and online cost, while preserving practical homomorphic aggregation performance.

Miguel Morona-Mínguez, Fernando Pérez-González, A. Pedrouzo-Ulloa · 0 citations

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