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A privacy-preserving machine learning project using Fully Homomorphic Encryption (FHE). Implements BFV, BGV, and CKKS schemes to run logistic regression directly on encrypted medical data. Evaluates accuracy, latency, and throughput for encrypted cardiovascular disease prediction.

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AmulyaSurya/homomorphic-encryption-ml

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A privacy-preserving machine learning project using Fully Homomorphic Encryption (FHE). Implements BFV, BGV, and CKKS schemes to run logistic regression directly on encrypted medical data. Evaluates accuracy, latency, and throughput for encrypted cardiovascular disease prediction.

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