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

An Industrial Grade Federated Learning Framework

Flower: A Friendly Federated AI 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.

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

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

A PyTorch Implementation of Federated Learning

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

An easy-to-use federated learning platform

An Open Framework for Federated Learning.

NVIDIA Federated Learning Application Runtime Environment

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

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

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

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

Benchmark of federated learning. Dedicated to the community. 🤗

Simulate a federated setting and run differentially private federated learning.

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

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

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