Alternatives and similar repositories for federated_learning_pysyft:

Users that are interested in federated_learning_pysyft are comparing it to the libraries listed below

• anantsh-dev / Federated-Learning
  Implementation of a Federated Learning based CNN model
  ☆15Updated 4 years ago
• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆67Updated 4 years ago
• ali-yaz / Privacy_Protected_Federated_Learning_on_Blockchain
  Federated learning convolution neural network (FL-CNN) to detect mode of transport from Itinerum GPS trajectories.
  ☆35Updated 5 years ago
• Zing22 / tf-fed-demo
  A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.
  ☆61Updated 3 years ago
• TheWitcher05 / Federated_learning_with_differential_privacy
  Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
  ☆33Updated 4 years ago
• hankcocco / fed-blockchain
  区块链+联邦学习+恶意检测算法
  ☆29Updated 4 years ago
• eceisik / ARFED
  Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination
  ☆22Updated 2 years ago
• zyplanet / FederatedLearningUsingPysyft
  ☆73Updated last year
• Practicing-Federated-Learning-for-IoT / FedGRU
  ☆19Updated 3 years ago
• c-gabri / Federated-Learning-PyTorch
  PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…
  ☆77Updated 3 years ago
• ITSEG-MQ / Chain-PPFL
  Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC
  ☆30Updated 4 years 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
• rbycntj / decentralized_federated_learning
  完全去中心化联邦学习
  ☆27Updated last year
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆62Updated last year
• PratikGarai / MNIST-Federated
  Experiments on MNIST dataset and federated training using Flower framework
  ☆37Updated 8 months ago
• ipc-lab / private-ml-for-health
  Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
  ☆72Updated last month
• wizard1203 / GossipFL
  ☆18Updated last year
• eceisik / ece_fl_public
  ☆52Updated 2 years ago
• congxie1108 / async_fl
  Source code for the paper "Asynchronous Federated Optimization"
  ☆25Updated 2 years ago
• Willjay5991 / federatedLearning-DP-my
  联邦学习分布式训练MNist数据集
  ☆56Updated 5 years ago
• ki-ljl / FedAvg-numpy-pytorch-tff
  Three implementations of FedAvg: numpy, pytorch and tensorflow federated.
  ☆42Updated 2 years ago
• xuchenhao001 / AFL
  Asynchronous Federated Learning
  ☆44Updated last year
• sanchi-shirur4 / federated-learning-blockchain
  The Project's goal is to simulate a decentralised approach to building machine learning models while protecting the privacy of users.
  ☆17Updated 3 years ago
• repeatedd / federated-learning-blockchain
  Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attemptin…
  ☆31Updated 3 years ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆61Updated 3 years ago
• NigeloYang / federated_learning_differential_privacy
  A foundational platform that primarily shares federated learning, differential privacy content
  ☆22Updated 2 weeks 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
• MMorafah / FLIS
  FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  ☆40Updated 2 years ago
• ChanChiChoi / awesome-Federated-Learning
  federated-learning
  ☆82Updated 2 years ago
• yiliucs / Federated-Learning-for-Traffic-Sign-Recognition
  In this project, we build a simple federated deep learning model (i.e., LeNet model) that classifies 62 differents Belgian Traffic Signs.
  ☆12Updated 4 years ago