Alternatives and similar repositories for federated_learning_pysyft

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

• gitgik / differential-privacy-federated-learning
  Curated notebooks on how to train neural networks using differential privacy and federated learning.
  ☆67Updated 4 years ago
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆312Updated 2 years ago
• sreyafrancis / BlockchainForFederatedLearning
  Democratize access to data, decentralize Artificial intelligence and enhance user privacy with Federated learning and Blockchain.
  ☆193Updated 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 6 years ago
• XinyiYS / Robust-and-Fair-Federated-Learning
  Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …
  ☆37Updated last year
• WHDY / FedAvg
  Implement FedAvg algorithm based on Tensorflow
  ☆262Updated 4 years ago
• MadeleineJansson / Master-Thesis-Federated-Learning
  Federated learning used to detect credit card fraud
  ☆13Updated 5 years ago
• eceisik / ece_fl_public
  ☆54Updated 3 years ago
• Zing22 / tf-fed-demo
  A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.
  ☆61Updated 4 years ago
• diwangs / asynchronous-federated-learning
  Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)
  ☆62Updated 2 years ago
• zhongjian-zhang / FederalLearning
  通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …
  ☆39Updated 3 years ago
• rbycntj / decentralized_federated_learning
  完全去中心化联邦学习
  ☆31Updated 2 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…
  ☆78Updated 3 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆179Updated 4 years ago
• lx10077 / fedavgpy
  On the Convergence of FedAvg on Non-IID Data
  ☆270Updated 2 years ago
• xuchenhao001 / AFL
  Asynchronous Federated Learning
  ☆49Updated 2 years ago
• bt-s / Split-Learning-and-Federated-Learning
  Investigating Split Learning and Federate Learning
  ☆86Updated 5 years ago
• HongdaWu1226 / FedPNS
  ☆32Updated 3 years ago
• yjlee22 / FedShare
  PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
  ☆122Updated 3 years ago
• leileidudu / FedSGD
  Federated learning via stochastic gradient descent
  ☆35Updated 5 years ago
• wenzhu23333 / Federated-Learning
  An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch
  ☆132Updated 2 years ago
• MLOPTPSU / FedTorch
  FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
  ☆193Updated 7 months ago
• maxencenoble / Differential-Privacy-for-Heterogeneous-Federated-Learning
  Differentially Private Federated Learning on Heterogeneous Data
  ☆69Updated 3 years ago
• katsura-jp / fedavg.pytorch
  A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017
  ☆88Updated last year
• congxie1108 / async_fl
  Source code for the paper "Asynchronous Federated Optimization"
  ☆25Updated 3 years ago
• FederatedAI / research
  ☆176Updated last year
• wizard1203 / GossipFL
  ☆20Updated 2 years ago
• an4nt / Federated-Learning
  Implementation of a Federated Learning based CNN model
  ☆17Updated 5 years ago
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆164Updated 3 years ago
• lillian-hao / Deep-Learning-with-Differential-Privacy
  An implementation of Deep Learning with Differential Privacy
  ☆26Updated 2 years ago