Alternatives and similar repositories for fedjax:

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

• facebookresearch / FLSim
  Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…
  ☆257Updated 7 months ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆188Updated last year
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆218Updated last year
• google-research / federated
  A collection of Google research projects related to Federated Learning and Federated Analytics.
  ☆714Updated 8 months ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆93Updated 9 months ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆274Updated last year
• apple / ml-flair
  A large labelled image dataset for benchmarking in federated learning
  ☆95Updated last year
• JonasGeiping / breaching
  Breaching privacy in federated learning scenarios for vision and text
  ☆284Updated 11 months ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆185Updated 4 years ago
• apple / pfl-research
  Simulation framework for accelerating research in Private Federated Learning
  ☆319Updated 2 months ago
• IBM / federated-learning-lib
  A library for federated learning (a distributed machine learning process) in an enterprise environment.
  ☆506Updated last year
• OpenMined / PySyft-TensorFlow
  SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft
  ☆57Updated 4 years ago
• TalwalkarLab / leaf
  Leaf: A Benchmark for Federated Settings
  ☆878Updated 2 years ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆510Updated 7 months ago
• google-research / DP-FTRL
  DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.
  ☆29Updated 3 weeks ago
• JonasGeiping / invertinggradients
  Algorithms to recover input data from their gradient signal through a neural network
  ☆286Updated 2 years ago
• scaleoutsystems / fedn
  FEDn: An enterprise-ready and vendor-agnostic federated learning framework.
  ☆153Updated this week
• vaikkunth / PrivacyFL
  A Simulator for Privacy Preserving Federated Learning
  ☆94Updated 4 years ago
• poga / awesome-federated-learning
  resources about federated learning and privacy in machine learning
  ☆533Updated 9 months ago
• SymbioticLab / FedScale
  FedScale is a scalable and extensible open-source federated learning (FL) platform.
  ☆397Updated last year
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated last year
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• ftramer / Handcrafted-DP
  ☆80Updated 2 years ago
• alshedivat / fedpa
  Federated posterior averaging implemented in JAX
  ☆51Updated 2 years ago
• IBM / FedMA
  Code for Federated Learning with Matched Averaging, ICLR 2020.
  ☆337Updated 3 years ago
• epfml / disco
  DISCO is a code-free and installation-free browser platform that allows any non-technical user to collaboratively train machine learning …
  ☆162Updated this week
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆120Updated 3 months ago
• TheSalon / fast-dpsgd
  Code for fast dpsgd implementations in JAX/TF
  ☆59Updated 2 years ago
• coMindOrg / federated-averaging-tutorials
  A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
  ☆182Updated 3 years ago
• Koukyosyumei / AIJack
  Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
  ☆385Updated 3 months ago