Szczecin / Secret-Sharing
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 complete secure privacy transmission without a third party.)
☆17Updated 3 years ago
Alternatives and similar repositories for Secret-Sharing
Users that are interested in Secret-Sharing are comparing it to the libraries listed below
Sorting:
- 基于同态加密的联邦学习安全聚合系统☆44Updated 4 years ago
- 联邦学习隐私保护综述☆34Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆117Updated 7 months ago
- 使用tensorflow2.1实现联合学习推荐模型，并加入差分隐私噪声进行隐私保护。☆54Updated 2 years ago
- 区块链+联邦学习+恶 意检测算法☆29Updated 4 years ago
- 基于安全多方计算的隐私保护系统设计与实现☆47Updated 3 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated last month
- 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☆15Updated last year
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆29Updated 3 months ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- 多方安全计算技术&联邦学习相关/Multi party security computing technology federated learning☆17Updated last year
- vertical federated learning demo with crypten☆47Updated 3 years ago
- Research Advances in the Latest Federal Learning Papers (Updated March 27, 2023)☆14Updated last year
- personal implementation of secure aggregation protocol☆45Updated last year
- 联邦学习分布式训练MNist数据集☆58Updated 5 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆20Updated 11 months ago
- VeryFL is an experimental federated leraning framework embedded with blockchain☆102Updated 3 months ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆30Updated 3 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…☆64Updated 2 years ago
- 联邦学习区块链web端demo☆48Updated 2 years ago
- 利用联邦学习进行高校学生成绩预测研究，并使用Streamlit搭建了简易的可视化平台☆22Updated 2 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 2 weeks ago
- 联邦学习相关资源整理☆42Updated 4 years ago
- 将联邦学习以及知识蒸馏用于搭建网络入侵检测检测模型，在NSL-KDD数据集上进行了验证。☆26Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆33Updated 4 years ago
- Federated Learning Blockchain Web Demo☆51Updated 2 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆69Updated 4 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆21Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated last year