wanghaojun / federate-learning-paperLinks
联邦学习论文以及论文笔记
☆21Updated 4 years ago
Alternatives and similar repositories for federate-learning-paper
Users that are interested in federate-learning-paper are comparing it to the libraries listed below
Sorting:
- 联邦学习可视化☆16Updated 4 years ago
- 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☆31Updated last year
- 🔬 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
- 联邦学习隐私保护综述☆36Updated 4 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
- Implement FedAvg algorithm based on Tensorflow☆260Updated 4 years ago
- Overview of Federal Learning☆293Updated 2 years ago
- ☆197Updated last year
- 基于同态加密的联邦学习安全聚合系统☆46Updated 4 years ago
- 联邦学习相关资源整理☆43Updated 4 years ago
- 联邦学习分布式训练MNist数据集☆61Updated 6 years ago
- 这是一个基于Minist数据集的横向联邦学习实现☆15Updated 4 years ago
- PyTorch Federated Learning (easy to use and extend)☆280Updated 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)☆32Updated 4 years ago
- 区块链+联邦学习+恶意检测算法☆29Updated 4 years ago
- ☆872Updated last year
- Galaxy Federated Learning Framework (星际联邦学习框架)☆253Updated 2 years ago
- Paper notes and code for differentially private machine learning☆358Updated last month
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆44Updated 3 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆129Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆406Updated 11 months ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- 带加密的联邦学习,学习+练手的小作品☆20Updated 6 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆73Updated last year
- 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
- 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
- ☆20Updated 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☆24Updated 3 years ago