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

nvflare

NVIDIA Federated Learning Application Runtime Environment

syft

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

flwr-datasets

Flower: A Friendly Federated AI Framework

fedn

Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning

secretflow

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

bazinga-indeed

BAZINGA - Distributed AI that belongs to everyone

openfl-nightly

An Open Framework for Federated Learning.

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

crdt-merge

Mathematically proven conflict-free merge for AI model weights, datasets, and agent memory with recursive trust-delta entanglement. Zero dependencies. Patent protected.

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.

substra

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

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

Simplified fine-tuning of retrieval-augmented generation (RAG) systems.

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.

flip-utils

Federated Learning Interoperability Platform Base Federated Learning Utilities

redco

NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference

rayfed-nightly

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

scaleoututil

A library for shared resources in the Scaleout Edge

fluke-fl

Federated Learning Utility framework for Experimentation and research.