Perform data science on data that remains in someone else's server

Flower: A Friendly Federated AI Framework

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.

A unified framework for privacy-preserving data analysis and machine learning

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

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

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

An Open Framework for Federated Learning.

NVIDIA Federated Learning Application Runtime Environment

Benchmark of federated learning. Dedicated to the community. 🤗

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

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

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

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

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