wanghaojun / federate-learning-paper
联邦学习论文以及论文笔记
☆16Updated 3 years ago
Related projects: ⓘ
- 联邦学习可视化☆13Updated 3 years ago
- 联邦学习分布式训练MNist数据集☆51Updated 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…☆54Updated last year
- 一个轻量型联邦学习框架，支持支持本地仿真和实际部，支持通信参量、模型、数据的自由更改，支持通信及模型各种指标的观察 开发人员：Jiaxiang Geng/Songning Gao☆22Updated last month
- 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☆21Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆41Updated 2 years ago
- 联邦学习相关资源整理☆38Updated 3 years ago
- ☆38Updated this week
- 带加密的联邦学习，学习+练手的小作品☆18Updated 5 years ago
- 基于同态加密的联邦学习安全聚合系统☆34Updated 3 years ago
- 联邦学习隐私保护综述☆29Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆28Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆41Updated last year
- ☆185Updated last month
- 多方安全计算技术&联邦学习相关/Multi party security computing technology federated learning☆16Updated 7 months ago
- Implement FedAvg algorithm based on Tensorflow☆227Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆98Updated 2 years ago
- 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…☆15Updated 2 years ago
- vertical federated learning demo with crypten☆42Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆94Updated 2 years ago
- 区块链+联邦学习+恶意检测算法☆28Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆53Updated 8 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆24Updated 3 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）☆21Updated 3 years ago
- 关于簇联邦学习的一个小小的改进。自动确定簇个数，提高簇模型精度，缓解用户孤立的问题☆32Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆202Updated 8 months ago
- Galaxy Federated Learning Framework （星际联邦学习框架）☆238Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆152Updated 7 months ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆55Updated 2 years ago