Author

Liang Kong

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Preprint Sep 2026

ROSETTA: Efficient and Accurate Privacy-Preserving LLM Decoding via Hybrid CKKS/TFHE Evaluation

ROSETTA is proposed, a hybrid CKKS/TFHE framework that overcomes inefficiency in evaluating nonlinear operations, which incur substantial overhead and dominate the decode stage and achieves up to $4.8\times$ Softmax speedup and $1.5$--$2.1\times$ end-to-end speedup over the SOTA framework CacheMir.

Jiang-Rui Yu, Bao-Sheng Zhang, Liang Kong et al. · 1 citation

Jul 2026

An Efficient Fault-Tolerance Scheme for CKKS Computation on CPUs

This work presents an efficient fault-tolerance scheme for CPU-based CKKS computation that achieves a 100 percent empirical detection rate across 150,000 non-crashing corrupted-result cases and maintains application accuracy close to the fault-free baseline over a wide range of fault rates.

Jia-Nan Mu, Ge Yu, Tenghui Hua et al. · arXiv.org · 0 citations