JiangChSo/PFLM

用途介绍

JiangChSo/PFLM 是公开 GitHub 仓库，主要语言为 Jupyter Notebook。最近记录为 31 个星标及 6 个分支。 主题：blockchain, federated learning, membership, privacy preserving, privacy preserving machine learning。 使用前请阅读文档、许可及当前问题记录。

Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing practical privacy-preserving federated learning schemes are based on (t, N)-threshold secret sharing. Such schemes rely on a strong assumption to guarantee security: the threshold t must be greater than half of the number of users. The assumption is so rigorous that in some scenarios the schemes may not be appropriate. Motivated by the issue, we first introduce membership proof for federated learning, which leverages cryptographic accumulators to gen

GitHub 仓库

星标

31

新增星标 · 7 天

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分支副本

6

主要编程语言

Jupyter Notebook

仓库许可证

未核查

最近代码推送

2021年6月9日

热度基于 GitHub 星标。7 天增长需积累完整一周的本地快照。这是本站收录集合，不是 GitHub 官方趋势榜。

来源与更新

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