Benchmark of federated learning. Dedicated to the community. 🤗
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Updated
Jul 4, 2024 - Python
Benchmark of federated learning. Dedicated to the community. 🤗
Simulation framework for accelerating research in Private Federated Learning
Flower: A Friendly Federated Learning Framework
A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings
Advanced Privacy-Preserving Federated Learning framework
Nerlnet is a distributed machine learning platform for experiments and IoT deployment.
Simple and customizable framework that can serve as a boilerplate for your Federated simulations.
An open framework for Federated Learning.
(CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
The first open Federated Learning framework implemented in C++ and Python.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
HeFlwr: Federated Learning for Heterogeneous Devices
Simulation Codes for "Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach"
Low-level Python library used to interact with a Substra network
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
This is a simple demonstration of how MLflow can be utilised to track and trace local ML models trained in a Federated Learning set-up.
Flexe - The open source federated learning for vehicular network simulation framework.
A decentralized federated learning framework enabling secure P2P model training on edge devices.
Federated Learning (FL) experiment simulation in Python.
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