There are 8 repositories under federated-learning-framework topic.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
An open framework for Federated Learning.
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Galaxy Federated Learning Framework (星际联邦学习框架)
Simulation framework for accelerating research in Private Federated Learning
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Simulation Codes for "Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach"
An Efficient and Easy-to-use Federated Learning Framework.
FedRay: a Research Framework for Federated Learning based on Ray
A flexible, modular, and easy to use library to facilitate federated learning research and development in healthcare settings
Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.
Flexe - The open source federated learning for vehicular network simulation framework.
Flexe - The open source federated learning for vehicular network simulation framework.
Centralized Federated Learning using WebSockets and TensorFlow
A Docker-Based Federated Learning Framework Design and Deployment for Multi-modal Data Stream Classification
FedKeeper is a client-based python tool for propagating FL-client functions over FaaS fabric. Its main objective is to act as a manager or keeper of various client functions distributed over different FaaS platforms.
Decentralized (P2P) Federated Learning implementation using libp2p JavaScript
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
A framework for fast federated learning algorithm verification based on Tensorflow (Only suitable for academic research)
A Federated Deep Learning Simulator Framework (FedSim). This simulator was developed under supervision of Dr. Keyvan RahimiZadeh.
Guide (based on my experiments) on NVIDIA FLARE™ (NVIDIA Federated Learning Application Runtime Environment)
Controller component of the FriendlyFL framework
Routing Server (RS) component of the FriendlyFL framework
Local development and test environment for FriendlyFL based on docker-compose
A research-oriented federal learning framework.
A comprehensive toolkit for organizations and developers to achieve privacy compliance and best practices in federated learning setups.