Whitesad / mnist-federated-learning
这是一个基于Minist数据集的横向联邦学习实现
☆13Updated 3 years ago
Alternatives and similar repositories for mnist-federated-learning:
Users that are interested in mnist-federated-learning are comparing it to the libraries listed below
- 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)☆26Updated 3 years ago
- 联邦学习分布式训练MNist数据集☆55Updated 5 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆34Updated 2 years ago
- 区块链+联邦学习+恶意检测算法☆29Updated 3 years ago
- 带加密的联邦学习,学习+练手的小作品☆18Updated 5 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆17Updated last year
- vertical federated learning demo with crypten☆46Updated 3 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆42Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆237Updated 4 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…☆56Updated last year
- 基于同态加密的联邦学习安全聚合系统☆38Updated 3 years ago
- ☆18Updated last year
- 完全去中心化联邦学习☆22Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆109Updated 4 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 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☆24Updated 5 months ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆60Updated last year
- Federated learning convolution neural network (FL-CNN) to detect mode of transport from Itinerum GPS trajectories.☆35Updated 5 years ago
- ☆77Updated last year
- Source code for the paper "Asynchronous Federated Optimization"☆24Updated 2 years ago
- 联邦学习论文以及论文笔记☆18Updated 4 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Updated 3 years ago
- 联邦学习隐私保护综述☆34Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆156Updated last year
- 自己动手实现的联邦学习相关代码☆9Updated 3 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆58Updated 2 years ago
- Overview of Federal Learning☆286Updated last year
- Bilibili丸一口的笔录☆14Updated last month
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆102Updated 2 years ago
- ☆191Updated 5 months ago