Alternatives and similar repositories for pytorch-federated-learning

Users that are interested in pytorch-federated-learning are comparing it to the libraries listed below

• lee-man / federated-learning
  Related material on Federated Learning
  ☆26Updated 5 years ago
• mynameisfiber / baton
  distributed federated learning for pytorch
  ☆15Updated 7 years ago
• timmers / awesome-federated-learning
  A curated list of resources dedicated to federated learning.
  ☆104Updated 3 years ago
• ebagdasa / federated_adaptation
  Salvaging Federated Learning by Local Adaptation
  ☆56Updated 11 months ago
• ZJU-DistributedAI / GalaxyDataset
  A modular evaluation metrics and a benchmark for large-scale federated learning
  ☆13Updated 11 months ago
• IBM / probabilistic-federated-neural-matching
  Bayesian Nonparametric Federated Learning of Neural Networks
  ☆143Updated 6 years ago
• lingjuanlv / FPPDL
  code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"
  ☆31Updated 3 years ago
• florian / federated-learning
  ☆31Updated 6 years ago
• ebagdasa / differential-privacy-vs-fairness
  Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
  ☆34Updated 4 years ago
• coMindOrg / federated-averaging-tutorials
  A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
  ☆182Updated 4 years ago
• crownpku / federated_shap
  Code for paper "Interpret Federated Learning with Shapley Values"
  ☆39Updated 6 years ago
• haiphanNJIT / PrivateDeepLearning
  Differential Privacy Preservation in Deep Learning under Model Attacks
  ☆135Updated 4 years ago
• mynameisvinn / federated-learning
  tf implementation of federated learning
  ☆42Updated 6 years ago
• chaoyanghe / FedNAS
  FedNAS: Federated Deep Learning via Neural Architecture Search
  ☆55Updated 3 years ago
• TTitcombe / NoPeekNN
  PyTorch implementation of NoPeekNN
  ☆16Updated 4 years ago
• mkucz95 / encrypted_ai_finance
  Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning
  ☆23Updated 2 years ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆186Updated 5 years ago
• roxanneluo / Federated-Learning
  ☆168Updated 7 years ago
• gingsmith / fmtl
  Federated Multi-Task Learning
  ☆131Updated 6 years ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆88Updated 4 years ago
• yw3xs / PPDL
  privacy preserving deep learning
  ☆15Updated 7 years ago
• zyplanet / FederatedLearningUsingPysyft
  ☆72Updated last year
• FedML-AI / FedCV
  FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks
  ☆66Updated last year
• npapernot / multiple-teachers-for-privacy
  This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…
  ☆10Updated 8 years ago
• shaoxiongji / fed-att
  Attentive Federated Learning for Private NLM
  ☆61Updated 11 months ago
• ShivamSRS / Federated-Pneumonia-Analysis
  Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.
  ☆34Updated 5 years ago
• bargavj / distributedMachineLearning
  This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.
  ☆26Updated 4 years ago
• litian96 / FedDANE
  FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
  ☆26Updated 2 years ago
• kamathhrishi / PATE
  Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…
  ☆44Updated 3 years ago
• steven7woo / Accuracy-First-Differential-Privacy
  Code for NIPS'2017 paper
  ☆50Updated 4 years ago