150 Open Source Federated Learning Software Projects

A library for answering questions using data you cannot see

An Industrial Grade Federated Learning Framework

A curated list of references for MLOps

Awesome Multitask Learning Resources

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

A curated list of awesome Distributed Deep Learning resources.

:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

resources about federated learning and privacy in machine learning

Infrastructures™ for Machine Learning Training/Inference in Production.

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Simulate a federated setting and run differentially private federated learning.

Manage federated learning workload using cloud native technologies.

See new version https://github.com/mccorby/PhotoLabeller

Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

Federated Learning Library: https://fedml.ai

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

Fair Resource Allocation in Federated Learning (ICLR '20)

Bayesian Nonparametric Federated Learning of Neural Networks

算法刷题指南、Java多线程与高并发、Java集合源码、Spring boot、Spring Cloud等笔记，源码级学习笔记后续也会更新。

Galaxy Federated Learning Framework （星际联邦学习框架）

A scalable, high-performance serving system for federated learning models

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

The core runtime engine for Ambianic Edge devices.

FATE's Visualization Toolkit

This repo contains all the notebooks mentioned in blog.

Full stack service enabling decentralized machine learning on private data

Federated Learning: Parameter Server doing aggregation of updates to a model coming from clients participating in a Federated Learning setup. See also the Android application companion at https://github.com/mccorby/PhotoLabeller

The official Syft worker for secure on-device machine learning

Attentive Federated Learning for Private NLM

A simulation framework for Federated Learning written in PyTorch

Federated Learning mini-framework with Keras

tf implementation of federated learning

Sherpa.ai Federated Learning Framework

A Simulator for Privacy Preserving Federated Learning

Interoperable and decentralized machine learning in JavaScript.

Coordinator & aggregator for private and decentralized machine learning.

Blockchain infrastructure for decentralized machine learning (decentralized-ml repo).

The implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)

Federated Learning on XGBoost

Privacy Preserving Vertical Federated Learning

Federated Learning Infra Architecture on Kubernetes(EKS)

Detect anomalies in network traffic data using Federated Machine Learning technique.

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

Playground code. Things that have been deprecated but may be useful in the future.

Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

Implementation of federated learning on Android devices. Please find more details in the following blog post. (in Chinese)

Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"

vector quantization for stochastic gradient descent.

Federated Learning on HyperLedger Aries

An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.

Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.

Docker CLI package for the vantage6 infrastructure

Federated gradient boosted decision tree learning

The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)

FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)

A Benchmark of Real-world Image Dataset for Federated Learning

Federated Principal Component Analysis Revisited!

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

FEDL-Federated Learning algorithm using TensorFlow

Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning

A privacy preserving NLP framework

The code in order to implement SVRG on Federated System

Secure aggregation protocol for TensorFlow Federated

Flower - A Friendly Federated Learning Framework

A Privacy-Preserving Framework Based on TensorFlow

Complete-Life-Cycle-of-a-Data-Science-Project

An open framework for Federated Learning.

FedNLP: A Research Platform for Federated Learning in Natural Language Processing

Substra is a framework for traceable ML orchestration on decentralized sensitive data.

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

Federated Learning on Non-IID Data Silos: An Experimental Study

FedScale: Benchmarking Model and System Performance of Federated Learning

Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

Model-Contrastive Federated Learning (CVPR 2021)

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Oort: Efficient Federated Learning via Guided Participant Selection

以患者为中心的医疗数据隐私共享平台

Federated posterior averaging implemented in JAX

Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)

Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

This repository implements FEDL using pytorch