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

substra

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

appfl

Advanced Privacy-Preserving Federated Learning framework

heflwr

HeFlwr: Federated Learning for Heterogeneous Devices

fedhf

A Federated Learning Framework which is Heterogeneous and Flexible.

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.

fedlab

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

flexible-fl

No description available

pfl

Simulation framework for accelerating research in Private Federated Learning

blades

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

decent-bench

A benchmarking framework for decentralized optimization

qora-fl

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

nebula-dfl

NEBULA: A Platform for Decentralized Federated Learning

federatedcore

A research-oriented federal learning framework.

flwr-tune

Flower Tune

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