基于同态加密的联邦学习安全聚合系统
☆49Mar 8, 2021Updated 5 years ago
Alternatives and similar repositories for federated_learning_HE
Users that are interested in federated_learning_HE are comparing it to the libraries listed below
Sorting:
- 自己的个人毕设，联邦学习相关，主要是多方安全计算中秘密分享的一种算法实现，以完成不需要第三方的安全隐私传输。（An algorithm implementation of secret sharing in multi-party secure computing to c…☆18Apr 10, 2022Updated 3 years ago
- 带加密的联邦学习，学习+练手的小作品☆21Jul 27, 2019Updated 6 years ago
- 区块链+联邦学习+恶意检测算法☆30Mar 5, 2021Updated 5 years ago
- 联邦学习隐私保护综述☆37Oct 15, 2021Updated 4 years ago
- 多方安全计算技术&联邦学习相关/Multi party security computing technology federated learning☆18Feb 18, 2024Updated 2 years ago
- 这是一个基于Paillier同态加密系统的隐私保护SVM模型训练算法。☆17Oct 19, 2022Updated 3 years ago
- 基于全同态加密的安全人脸识别系统/Secure Face Recognition System based on Fully Homomorphic Encryption☆147May 1, 2023Updated 2 years ago
- 联邦学习预测节点流量☆13Dec 5, 2020Updated 5 years ago
- 一种基于全同态加密技术的医疗隐私保密系统，是一个较为成熟的项目，公开源代码实现，小组成员如下：王子旭、许嘉晨、夏萌、王宏任☆60Sep 6, 2018Updated 7 years ago
- 中科大密码学大作业：在breast cancer数据集上实现了纵向联邦学习与标签差分隐私结合☆17Oct 25, 2023Updated 2 years ago
- 这是一个基于同态加密算法实现的隐私保护电子投票系统☆60Jun 22, 2022Updated 3 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- 联邦学习分布式训练MNist数据集☆63Jun 11, 2019Updated 6 years ago
- 联邦学习可视化☆16Apr 25, 2021Updated 4 years ago
- 基于安全多方计算的隐私保护系统设计与实现☆51Nov 23, 2021Updated 4 years ago
- 这是一个基于Minist数据集的横向联邦学习实现☆16Apr 14, 2021Updated 4 years ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆17May 10, 2023Updated 2 years ago
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- 基于phe库的安全多方计算协议实现☆11Jun 1, 2022Updated 3 years ago
- 一个基于区块链+同态加密+小程序的隐私保护方案☆38Sep 7, 2023Updated 2 years ago
- 使用pytorch，mnist、cifar数据集实现基础的联邦学习（平局聚合、不含加密过程）☆34Aug 22, 2021Updated 4 years ago
- 本项目演示联邦学习方法☆11Aug 1, 2019Updated 6 years ago
- ☆19Jun 11, 2021Updated 4 years ago
- 📊 Privacy Preserving Medical Data Analytics using Secure Multi Party Computation. An End-To-End Use Case. A. Giannopoulos, D. Mouris M.S…☆21Dec 5, 2023Updated 2 years ago
- 联邦学习ECG心电图诊断模型训练与预测☆20Sep 20, 2023Updated 2 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Jul 1, 2019Updated 6 years ago
- ☆46Aug 4, 2023Updated 2 years ago
- 联邦学习相关资源整理☆45Nov 17, 2020Updated 5 years ago
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…☆69Mar 29, 2023Updated 2 years ago
- 《密码学原理与实践》冯登国第三版 —— Java实现☆10Dec 9, 2017Updated 8 years ago
- Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology …☆32Dec 7, 2023Updated 2 years ago
- 这是我的毕业设计，要求的是带差分隐私的推荐系统，算法采用协同过滤☆42May 14, 2021Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 years ago
- Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习☆634Apr 28, 2021Updated 4 years ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆83Jul 23, 2024Updated last year
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Jun 9, 2022Updated 3 years ago
- ☆13Aug 4, 2022Updated 3 years ago
- 基于联邦学习的电影推荐系统，采用联邦学习框架FATE1.3.1的水平联邦推荐算法。☆28Apr 20, 2022Updated 3 years ago
- 一个用于联邦学习或分布式机器学习，对不同网络拓扑进行实验的简易框架。☆39Mar 25, 2023Updated 2 years ago