FHE-based causal structure learning with circuit simplification, Newton-Raphson and Taylor approximations for division/log, and SIMD batching produces structures comparable to plaintext versions.
Towards privacy- aware causal structure learning in federated setting,
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Preserving Data Privacy in Learning Causal Structure with Fully Homomorphic Encryption
FHE-based causal structure learning with circuit simplification, Newton-Raphson and Taylor approximations for division/log, and SIMD batching produces structures comparable to plaintext versions.