Optimized layerwise approximation for efficient private inference on fully homomorphic encryption

Junghyun Lee

doi:10.1016/j.neucom.2026.134016

Optimized layerwise approximation for efficient private inference on fully homomorphic encryption

2026-05-19

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DOI：10.1016/j.neucom.2026.134016

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Abstract

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• Fully homomorphic encryption strongly protects sensitive data. • Fully homomorphic encryption requires approximations for non-arithmetic operations. • Post-training approximation eliminates the need for retraining the pre-trained model. • Evaluating high-degree polynomials on ciphertexts incurs significant time latency. • Optimized layerwise approximation reduces time latency for private inference.

Keywords:

Fully homomorphic encryption

Private inference

Layerwise approximation

Time latency

Non-arithmetic operations

Optimized layerwise approximation for efficient private inference on fully homomorphic encryption

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