Federated Learning Python Packages

flwr

Flower: A Friendly Federated AI Framework

flwr-nightly

Flower: A Friendly Federated AI Framework

nvflare

NVIDIA Federated Learning Application Runtime Environment

medmnist

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

flwr-datasets

Flower: A Friendly Federated AI Framework

syft

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

bazinga-indeed

BAZINGA - Distributed AI that belongs to everyone

openfl-nightly

An Open Framework for Federated Learning.

secretflow

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

flip-utils

Federated Learning Interoperability Platform

secretflow-serving-lib

SecretFlow-Serving is a serving system for privacy-preserving machine learning models.

secretflow-lite

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

zakuro-ai

Python code of the Zakuro platform.

substra

Low-level Python library used to interact with a Substra network

flgo

An experimental platform for federated learning.

fedml

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.

fedn

Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning

ifra

This algorithm generates an interpretable explaining ruleset based on a target Y and features X through a federated learning, where each node generates a ruleset from a single decision tree.

fed-rag

A framework for fine-tuning retrieval-augmented generation (RAG) systems.

vertimosaic

VertiMosaic is an open-source framework for cross-industry vertical federated learning on tabular data, enabling organizations with complementary features to collaboratively train models while keeping raw data local.

openfl

An Open Framework for Federated Learning.

pfl

Simulation framework for accelerating research in Private Federated Learning

decopt

In compressed decentralized optimization settings, there are benefits to having multiple gossip steps between subsequent gradient iterations, even when the cost of doing so is appropriately accounted for e.g. by means of reducing the precision of compressed information.

scaleout

Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning