ki-ljl / Linux-Curriculum-DesignLinks
Linux课程设计:Linux系统下多进程的创建与通信
☆16Updated 3 years ago
Alternatives and similar repositories for Linux-Curriculum-Design
Users that are interested in Linux-Curriculum-Design are comparing it to the libraries listed below
Sorting:
- 2021年计算机保研记录☆13Updated 3 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- 采用VAE模型实现网络流量异常检测,并结合联邦学习与蒸馏学习☆14Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆40Updated 3 years ago
- PyTorch Federated Learning (easy to use and extend)☆296Updated last year
- 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。☆29Updated 2 years ago
- 联邦学习预测节点流量☆12Updated 5 years ago
- ☆885Updated last year
- A simple Asynchronous Federated Learning!☆11Updated last year
- Implement FedAvg algorithm based on Tensorflow☆265Updated 5 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆113Updated 3 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Updated 4 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
- 🎈 2020年中国高校计算机大赛(C4)-网络技术挑战赛EP2决赛赛项:基于CNN+LSTM时空神经网络的在线流量分类模型。☆53Updated 2 years ago
- Python实现的构造性覆盖算法☆10Updated 6 years ago
- 基于安全多方计算的隐私保护系统设计与实现☆51Updated 4 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆77Updated last year
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Updated 2 years ago
- 联邦学习☆1,144Updated 2 years ago
- 鸿蒙开发课程设计:基于JSoup的鸿蒙教务查询软件。☆17Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆80Updated 3 years ago
- 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☆177Updated 6 months 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…☆67Updated 2 years ago
- Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser.☆24Updated 3 years ago
- Overview of Federal Learning☆294Updated 2 years ago
- ☆20Updated 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)☆33Updated 4 years ago
- 带加密的联邦学习,学习+练手的小作品☆20Updated 6 years ago
- 联邦学习分布式训练MNist数据集☆62Updated 6 years ago
- 区块链+联邦学习+恶意检测算法☆30Updated 4 years ago