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zeekay
08440f23dd
Drops the named-competitor scaffold's TFHE-rs and Concrete (both Zama) entries from
lux-fhe-benchmarks and the matching bibliography. The CGGI academic citation for the
underlying TFHE scheme (Chillotti et al., Journal of Cryptology 2020) is kept — it's
the scheme we implement, not a library we depend on. Competitor coverage retained:
TFHE-CGGI reference, OpenFHE, VeloFHE/OpenFHE-GPU, Microsoft SEAL.
Other touch-ups in the same sweep:
lux-fhe-runtime/08-related-work.tex — rewrites "Concrete (Zama)" subsection
as a generic "FHE compiler stacks" one.
lux-fhe-smart-contracts main + 03 — positive framing ("on luxfi/lattice")
instead of negative ("not tfhe-rs, not Zama").
legacy-md/FOLLOW-UPS-2026-05-12.md — drops Zama tfhe-rs from the bench harness
plan; OpenFHE + Lux-FHE only.
Lux FHE is native: luxfi/fhe + luxfi/lattice, with optional C++ / GPU (Metal+CUDA) /
FPGA acceleration paths. No tfhe-rs, no Zama, no external library wrapping.
68 lines
2.5 KiB
TeX
68 lines
2.5 KiB
TeX
\section{Conclusion}
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FHE on commodity hardware is viable for specific application classes: confidential transfers, blind auctions, compliance checks, and private voting all complete within single-digit seconds. The bottleneck is boolean gate bootstrapping ($\sim$8\,ms on EPYC), which sets the floor for all higher-level operations. NTT SIMD optimization provides the foundation, achieving 74M polynomial multiplications per second on AVX-512. Developers should use the cost model to validate circuit feasibility before implementation, and prefer scalar operations and uint8/uint16 types where precision permits.
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\begin{thebibliography}{99}
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\bibitem{fhe-api}
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Kelling, Z. (2025).
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\textit{FHE API and Developer Model for Practical Private Applications}.
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Lux Industries Research.
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\bibitem{tfhe}
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Kelling, Z. (2025).
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\textit{Threshold Fully Homomorphic Encryption for Confidential DeFi}.
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Lux Industries Research.
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\bibitem{threshold-decrypt}
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Kelling, Z. (2024).
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\textit{Threshold Decryption and Recovery for Confidential Systems}.
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Lux Industries Research.
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\bibitem{cggi}
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Chillotti, I., Gama, N., Georgieva, M., \& Izabachene, M. (2020).
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\textit{TFHE: Fast Fully Homomorphic Encryption over the Torus}.
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Journal of Cryptology, 33(1), 34--91.
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\bibitem{lmkcdey}
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Lee, Y., Micciancio, D., Kim, A., Choi, R., Deryabin, M., Eom, J., \& Yoo, D. (2023).
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\textit{Efficient FHEW Bootstrapping with Small Evaluation Keys}.
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EUROCRYPT 2023.
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\bibitem{openfhe}
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Al Badawi, A. et al. (2022).
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\textit{OpenFHE: Open-Source Fully Homomorphic Encryption Library}.
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Proceedings of the 6th Workshop on Encrypted Computing.
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% --- Named-competitor scaffold (Apr 2026) ---
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\bibitem{albadawi2022openfhe}
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Al Badawi, A., et al. (2022).
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\textit{OpenFHE: Open-Source Fully Homomorphic Encryption Library}.
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WAHC '22 (10th Workshop on Encrypted Computing \& Applied Homomorphic Cryptography).
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\bibitem{microsoftseal}
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Microsoft Research. (2023).
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\textit{Microsoft SEAL (release 4.1)}.
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\url{https://github.com/microsoft/SEAL}
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\bibitem{velofhe2024}
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Wang, T., et al. (2024).
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\textit{VeloFHE: GPU Acceleration for FHEW and TFHE Bootstrapping}.
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IACR Transactions on Cryptographic Hardware and Embedded Systems (TCHES).
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\url{https://tches.iacr.org/index.php/TCHES/article/view/12211}
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\bibitem{lattigov7}
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Lux Core Team. (2026).
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\textit{Lattigo v7 (Lux fork)}.
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\url{https://github.com/luxfi/lattice}
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\bibitem{luxevmgpu}
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Kelling, Z. (2026).
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\textit{GPU-Accelerated EVM Execution: Measured Benchmarks on Apple M1 Max Metal}.
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Lux Industries, Inc.; \texttt{papers/evmgpu-benchmark/}.
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\end{thebibliography}
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