hfe_knn/README.md at main - hfe_knn - SangGe's Gitea

sangge/hfe_knn

sangge 4c155d8bf4 Initial Rust project setup with dependencies and dataset

- Add Cargo.toml with TFHE, CSV, and Serde dependencies
- Add .gitignore for Rust target directory
- Include Iris dataset for machine learning experiments
- Add plain KNN implementation binary
- Update LICENSE to MIT and improve README

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-06-29 18:11:40 +08:00

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 # hfe_knn
 全同态加密下的KNN算法实现
 knn算法关键是使用一个距离函数来计算样本之间的距离，常用的距离函数有欧氏距离、曼哈顿距离等。
 计算距离可以在全密文下实现。
 主要是寻找一个全同态加密的比较大小方案
 全同态加密计划使用TFHE-rs, 交互api使用axum实现的restful api

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