An Industrial Grade Federated Learning Framework

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

Master Federated Learning in 2 Hours—Run It on Your PC!

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

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

An easy-to-use federated learning platform

A PyTorch Implementation of Federated Learning

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

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NVIDIA Federated Learning Application Runtime Environment

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An Open Framework for Federated Learning.

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

A collection of Google research projects related to Federated Learning and Federated Analytics.

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

Benchmark of federated learning. Dedicated to the community. 🤗

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

An experimental platform for federated learning.

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

resources about federated learning and privacy in machine learning

A library for federated learning (a distributed machine learning process) in an enterprise environment.

The first open Federated Learning framework implemented in C++ and Python.

Federated Deep Learning in PaddlePaddle

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

Handy PyTorch implementation of Federated Learning (for your painless research)

Manage federated learning workload using cloud native technologies.

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Personalized federated learning codebase for research

FedScale is a scalable and extensible open-source federated learning (FL) platform.