OliverStoll / Anomaly-Detection-IIoTLinks
"Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things" (IEEE Bigdata) - Exploring resource-efficient & data privacy enabling training at the edge
☆20Updated last month
Alternatives and similar repositories for Anomaly-Detection-IIoT
Users that are interested in Anomaly-Detection-IIoT are comparing it to the libraries listed below
Sorting:
- 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
- ☆14Updated 4 months ago
- FL-based intrusion detection system development using model averaging.☆38Updated 2 years ago
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆34Updated 2 years ago
- ☆14Updated 2 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆22Updated last year
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…☆15Updated last year
- Communication-efficient federated continual learning☆16Updated 2 years ago
- ☆9Updated 2 years ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆26Updated 6 months ago
- Classifying different types of attacks in VANET system using federated learning and comparing the accuracy, precision and recall values w…☆9Updated 4 years ago
- About the code release for "Federated PCA on Grassmann Manifold for IoT Anomaly Detection" ToN2024☆18Updated last week
- This is a code that combines federated learning with differential privacy for transformer fault diagnosis.☆26Updated 2 years ago
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 2 years ago
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Te…☆17Updated 2 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 3 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
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 7 months ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆42Updated 2 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
- Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch☆18Updated 3 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 2 years ago
- ☆21Updated 7 months ago
- ☆19Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- ☆11Updated 3 years ago
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆11Updated 2 years ago