4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CR2025
Practical Secure Inference Algorithm for Fine-tuned Large Language Model Based on Fully Homomorphic Encryption
Zhang Ruoyan, Zheng Zhongxiang, Bao Wankang
Large language models(LLMs) are currently at the forefront of the machine learning field, which show a broad application prospect but at the same time expose some risks of privacy…
cs.CR2024★ 4 cited
Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
Yuqi Guo, Lin Li, Zhongxiang Zheng +4
Since the first theoretically feasible full homomorphic encryption (FHE) scheme was proposed in 2009, great progress has been achieved. These improvements have made FHE schemes com…