Federated Learning Framework Python Packages

flwr

Flower: A Friendly Federated AI Framework

flwr-nightly

Flower: A Friendly Federated AI Framework

flwr-datasets

Flower: A Friendly Federated AI Framework

torchnative

Run the real PyTorch ecosystem on device, not reimplementing it

substra

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

appfl

Advanced Privacy-Preserving Federated Learning framework

pfl

Simulation framework for accelerating research in Private Federated Learning

decent-bench

A benchmarking framework for decentralized optimization

fedhf

🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.

fedlab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

heflwr

HeFlwr: Federated Learning for Heterogeneous Devices

qora-fl

byzantine-tolerant aggregation primitives for federated learning, with deterministic and reputation-aware options.

royalflush

Royal FLush is a Python framework specifically designed to facilitate the development, execution and analysis of multi-agent systems (MAS) federated learning (FL) experiments.

blades

⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning

flexible-fl

Federated Learning (FL) experiment simulation in Python.

nebula-dfl

NEBULA: A Platform for Decentralized Federated Learning

flwr-tune

Flower: A Friendly Federated AI Framework

federatedcore

A research-oriented federal learning framework.

metisfl

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

gfl

Galaxy Federated Learning Framework （星际联邦学习框架）

nebula-platform

NEBULA: A Platform for Decentralized Federated Learning