Alternatives and similar repositories for Anomaly-Detection-IIoT:

Users that are interested in Anomaly-Detection-IIoT are comparing it to the libraries listed below

• iZRJ / SSFL-IDS
  Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"
  ☆26Updated 2 years ago
• zhangzhao156 / Communication-efficient-federated-continual-learning
  Communication-efficient federated continual learning
  ☆14Updated 2 years ago
• janerjzou / AD_FL_DL
  Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.
  ☆33Updated 2 years ago
• Dc-dcdc / FL-LDP
  This is a code that combines federated learning with differential privacy for transformer fault diagnosis.
  ☆27Updated last year
• meng1103 / Federated-Learning-Non-IID
  Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn
  ☆24Updated 2 months ago
• upcbdipt / CDW_FedAvg
  The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"
  ☆32Updated 3 years ago
• iZRJ / Federated-Learning-Based-Intrusion-Detection-System
  FL-based intrusion detection system development using model averaging.
  ☆35Updated 2 years ago
• tjdghks994 / FedPSO
  FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs
  ☆18Updated 2 years ago
• FedML-AI / FedIoT
  Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.
  ☆44Updated 2 years ago
• bramvandewalle / MScProject
  Federated Learning in Network Intrusion Detection
  ☆11Updated last year
• Western-OC2-Lab / FL-IOV-ITS
  Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…
  ☆24Updated 3 years ago
• fatemehm / Federated-Learning-IDS
  ☆11Updated last year
• meryemJanatiIdrissi / Fed-ANIDS
  ☆9Updated last year
• c2dc / fl-unsup-nids
  ☆20Updated 3 months ago
• AmanPriyanshu / FedPAQ-MNIST-implemenation
  An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…
  ☆22Updated 3 years ago
• aleph-research / diff-priv-laplace-python
  Python implementation of differential privacy using Laplace mechanism
  ☆10Updated 2 years ago
• ki-ljl / FedPer
  PyTorch implementation of FedPer (Federated Learning with Personalization Layers).
  ☆67Updated 2 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆59Updated 2 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆59Updated last year
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆30Updated 3 years ago
• ki-ljl / FedAvg-numpy-pytorch-tff
  Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
  ☆42Updated 2 years ago
• nepiskopos / simple_ids_with_flwr_iec104
  Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…
  ☆12Updated 9 months ago
• mania087 / HAR-Federated-Transfer-Learning-in-Pytorch
  This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset
  ☆24Updated 2 months ago
• Orienfish / Async-HFL
  [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
  ☆34Updated last year
• zhangzhao156 / SecFedNIDS
  ☆12Updated 2 years ago
• dinhgit / FL-GAN_COVID
  Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing
  ☆17Updated 3 years ago
• Practicing-Federated-Learning-for-IoT / FedGRU
  ☆18Updated 3 years ago
• wzljerry / FBFL-A-Flexible-Blockchain-based-Federated-Learning-Framework-in-Mobile-Edge-Computing
  We will implement this framework.
  ☆30Updated 2 years ago
• mohamedmgh / Federated-Learning-VANET
  Classifying different types of attacks in VANET system using federated learning and comparing the accuracy, precision and recall values w…
  ☆10Updated 4 years ago
• aayushdewangan11 / Blockchain_Enabled_Federated_learning
  A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…
  ☆21Updated last year