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Table 5 Cryptographic parameters for the CKKS scheme at the 128-bit security level, for each kernel and dataset. \(k = 2^{10}\)

From: Private pathological assessment via machine learning and homomorphic encryption

 

Kernel

Dataset

Linear

Polynomial

RBF

Sigmoid

\((N,\log _2 Q)\)

\((N,\log _2 Q)\)

\((N,\log _2 Q)\)

\((N,\log _2 Q)\)

Cleveland Heart Disease

(16k, 258)

(32k, 756)

(32k, 804)

(65k, 892)

Wisconsin Breast Cancer

(16k, 287)

(32k, 644)

(32k, 804)

(65k, 996)

BreastMNIST

(64k, 640)

PneumoniaMNIST

(64k, 640)