Marcus Taubert
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126
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2026
A Pragmatic Comparison of Cryptographic Computation Technologies for Machine Learning
This paper provides a comparative analysis and benchmarking of Secure Multi-Party Computation (SMPC) and Fully Homomorphic Encryption (FHE) for machine learning, finding that the optimal choice depends on the specific model architecture.
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