scaleoutsystems / fedn
FEDn: An enterprise-ready open source federated learning framework. This repository contains the Python framework, CLI and API.
☆153Updated this week
Alternatives and similar repositories for fedn:
Users that are interested in fedn are comparing it to the libraries listed below
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆501Updated last year
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆255Updated 6 months ago
- Federated Learning Utilities and Tools for Experimentation☆187Updated last year
- FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.☆257Updated 2 months ago
- Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to be…☆208Updated 8 months ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆705Updated 7 months ago
- Implementation of dp-based federated learning framework using PyTorch☆294Updated last year
- Leaf: A Benchmark for Federated Settings☆872Updated last year
- PriMIA: Privacy-preserving Medical Image Analysis☆130Updated last year
- A large labelled image dataset for benchmarking in federated learning☆95Updated 11 months ago
- NVIDIA Federated Learning Application Runtime Environment☆694Updated this week
- PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…☆274Updated last month
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆27Updated 7 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆507Updated 5 months ago
- resources about federated learning and privacy in machine learning☆531Updated 8 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆396Updated last year
- A tree-based federated learning system (MLSys 2023)☆147Updated last month
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆189Updated 10 months ago
- Federated Learning Course Materials☆64Updated 3 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆427Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆230Updated 7 months ago
- Federated gradient boosted decision tree learning☆70Updated last year
- Simulate a federated setting and run differentially private federated learning.☆366Updated 7 months ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆470Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆271Updated last year
- Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"☆70Updated last year
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 3 years ago