Alternatives and similar repositories for Secure-Federated-Learning

Users that are interested in Secure-Federated-Learning are comparing it to the libraries listed below

• bacu79 / Federated-Learning-meets-Homomorphic-Encryption
  Homomorphic Encryption and Federated Learning based Privacy-Preserving
  ☆73Updated 2 years ago
• PR-Desai2226 / Credit-card-fraud-detection-using-Federated-Learning-and-Split-Learning
  Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch
  ☆19Updated 4 years ago
• PratikGarai / MNIST-Federated
  Experiments on MNIST dataset and federated training using Flower framework
  ☆40Updated last week
• FebriantiW / Homomorphic-Encryption-and-Federated-Learning-based-Privacy-Preserving-CNN-Training-
  Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…
  ☆24Updated 3 years ago
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆315Updated last month
• aayushsss1 / Simulating-Federated-Learning-with-Homomorphic-Encryption
  A simulation showcasing federated learning with homomorphic encryption
  ☆11Updated 2 years ago
• google-research / federated
  A collection of Google research projects related to Federated Learning and Federated Analytics.
  ☆742Updated 8 months ago
• stijani / tutorial
  Contains codes for my published tutorials
  ☆31Updated 2 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆222Updated 2 years ago
• git-disl / DataPoisoning_FL
  Code for Data Poisoning Attacks Against Federated Learning Systems
  ☆206Updated 4 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…
  ☆16Updated last year
• ipc-lab / private-ml-for-health
  Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
  ☆76Updated last year
• janerjzou / AD_FL_DL
  Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.
  ☆36Updated 3 years ago
• MetisPrometheus / MSc-thesis-xmkckks
  ☆14Updated 2 years ago
• Gharibim / federated_learning_course
  Federated Learning Course Materials
  ☆65Updated 4 years ago
• Koukyosyumei / AIJack
  Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
  ☆420Updated last month
• ammartahir24 / SecureAggregation
  An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…
  ☆92Updated 6 years ago
• ebagdasa / backdoor_federated_learning
  Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
  ☆313Updated last year
• IBM / federated-learning-lib
  A library for federated learning (a distributed machine learning process) in an enterprise environment.
  ☆527Updated 4 months ago
• alexjungaalto / FederatedLearning
  Material workbench for the master-level course CS-E4740 "Federated Learning"
  ☆179Updated 3 weeks ago
• MadeleineJansson / Master-Thesis-Federated-Learning
  Federated learning used to detect credit card fraud
  ☆13Updated 5 years ago
• stratosphereips / awesome-ml-privacy-attacks
  An awesome list of papers on privacy attacks against machine learning
  ☆634Updated last year
• JonasGeiping / breaching
  Breaching privacy in federated learning scenarios for vision and text
  ☆312Updated 2 weeks ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆697Updated 9 months ago
• Minki-Kim95 / Federated-Learning-and-Split-Learning-with-raspberry-pi
  SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
  ☆116Updated 4 years ago
• fatemehm / Federated-Learning-IDS
  ☆17Updated last year
• eceisik / ARFED
  Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination
  ☆24Updated 3 years ago
• ChanChiChoi / awesome-Federated-Learning
  federated-learning
  ☆85Updated 3 years ago
• williamdevena / Defending-federated-learning-system
  Implementation of a client reputation, gradient checking and homomorphic encryption mechanism to defend a federated learning system from …
  ☆17Updated 2 years ago
• mtuann / fedlearn-backdoor-attacks
  Fast integration of backdoor attacks in federated learning with updated attacks and defenses.
  ☆59Updated 3 weeks ago