Massacre96Wj / FLLinks
联邦学习预测节点流量
☆12Updated 4 years ago
Alternatives and similar repositories for FL
Users that are interested in FL are comparing it to the libraries listed below
Sorting:
- 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
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆20Updated 4 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆26Updated 4 years ago
- Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser.☆24Updated 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
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆29Updated 2 years ago
- A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.☆21Updated 5 years ago
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆33Updated 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
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆32Updated 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
- Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'☆70Updated 4 years ago
- Asynchronous Federated Learning☆49Updated 2 years ago
- FL-based intrusion detection system development using model averaging.☆40Updated 2 years ago
- 联邦学习分布式训练MNist数据集☆62Updated 6 years ago
- 基于联邦学习和深度残差网络的sdn入侵检测研究☆14Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆39Updated 2 years ago
- We will implement this framework.☆32Updated 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 last year
- ☆22Updated last year
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆94Updated 3 years ago
- 完全去中心化联邦学习☆31Updated 2 years ago
- Adaptive Federated Learning Approach to DDoS attack detection☆51Updated 11 months ago
- ☆15Updated 9 months ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆11Updated 3 years ago
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆23Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆138Updated 5 years ago
- Active Client Selection for Federated Learning☆49Updated 2 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…☆66Updated 2 years ago