ypzhaang / Federated-Grade-PredictionLinks
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
☆24Updated 3 years ago
Alternatives and similar repositories for Federated-Grade-Prediction
Users that are interested in Federated-Grade-Prediction are comparing it to the libraries listed below
Sorting:
- 🔬 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…☆66Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆39Updated 3 years ago
- 联邦学习分布式训练MNist数据集☆60Updated 6 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Updated last year
- 联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes☆173Updated 2 months ago
- Overview of Federal Learning☆293Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆272Updated last year
- 基于同态加密的联邦学习安全聚合系统☆45Updated 4 years ago
- 联邦学习隐私保护综述☆35Updated 3 years ago
- Paper notes and code for differentially private machine learning☆356Updated this week
- Implement FedAvg algorithm based on Tensorflow☆255Updated 4 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…☆18Updated 3 years ago
- 联邦学习相关资源整理☆43Updated 4 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆126Updated 11 months ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆44Updated 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☆36Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆399Updated 10 months ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆70Updated last year
- 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）☆31Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆111Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆307Updated 2 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆23Updated last year
- ☆869Updated last year
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆17Updated 3 months ago
- A foundational platform that primarily shares federated learning, differential privacy content☆24Updated 5 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- VeryFL is an experimental federated leraning framework embedded with blockchain☆112Updated 7 months ago
- ☆72Updated 10 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- An easy-to-use federated learning platform☆298Updated 2 years ago