Federated Learning Python Packages

flwr

Flower: A Friendly Federated AI Framework

flwr-nightly

Flower: A Friendly Federated AI Framework

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

nvflare

NVIDIA Federated Learning Application Runtime Environment

fedn

Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning

bazinga-indeed

BAZINGA - The first AI you actually own. Free, private, works offline. Multi-AI consensus through φ-coherence. TrD + TD = 1.

openfl-nightly

An Open Framework for Federated Learning.

secretflow

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

secretflow-serving-lib

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

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.

secretflow-lite

SecretFlow Lite

flgo

An experimental platform for federated learning.

substra

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

fairswarm

FairSwarm: Provably fair particle swarm optimization for federated learning coalition selection. This library is for academic research with commercialization available by contacting Tenicka Norwood

crdt-merge

Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.

flip-utils

Federated Learning Interoperability Platform Base Federated Learning Utilities

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.

rayfed-nightly

A multiple parties joint, distributed execution engine based on Ray,to help build your own federated learning frameworks in minutes.

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.

fenris

FENRIS - Federated Extensible Norwegian Research Interface for Synthetic data. Fenris is an extensible benchmarking framework for federated synthetic tabular data generators.

scaleoututil

Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning