mohamedmgh / Federated-Learning-VANETLinks
Classifying different types of attacks in VANET system using federated learning and comparing the accuracy, precision and recall values with standard SGD approach. Used popular VeReMi dataset in the process
☆9Updated 4 years ago
Alternatives and similar repositories for Federated-Learning-VANET
Users that are interested in Federated-Learning-VANET are comparing it to the libraries listed below
Sorting:
- ☆14Updated 4 months ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆28Updated 2 years ago
- Federated Learning in Network Intrusion Detection☆13Updated 2 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆25Updated 4 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
- Asynchronous Federated Learning☆46Updated 2 years ago
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆22Updated last year
- 完全去中心化联邦学习☆28Updated last year
- FL-based intrusion detection system development using model averaging.☆38Updated 2 years ago
- We will implement this framework.☆32Updated 3 years ago
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆11Updated 2 years ago
- LSTM network to verify trajector prediction on the NGSIM dataset based on IoV-SFDL framework☆46Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆42Updated 2 years ago
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆34Updated 2 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆22Updated last year
- Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attemptin…☆31Updated 3 years ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆29Updated 3 years ago
- This project used Flower, Go Ethereum, IPFS, Web3, digital signature and socket to implement blockchain-based federated learning.☆30Updated 2 years ago
- ☆40Updated last month
- zhanglinchao1 / DVRC-Heterogeneous-Internet-of-Vehicles-based-on-reputation-consensus-and-federated-learning基于信誉共识和联邦学习的异构车联网交通预测与规划☆12Updated last year
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆19Updated 4 years ago
- 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。☆27Updated last year
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆40Updated last year
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning☆33Updated 4 years ago
- Blockchain federated learning simulate by python☆10Updated 2 years ago
- 区块链+联邦学习+恶意检测算法☆28Updated 4 years ago
- Blockchain federated learning☆14Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆24Updated 3 years ago