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Federated Learning
Perform data science on data that remains in someone else's server
Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
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 o…
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks
Federated Learning Course Materials
NVIDIA Federated Learning Application Runtime Environment
Federated Learning for Object Detection in Autonomous Vehicles
FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Master Federated Learning in 2 Hours—Run It on Your PC!
An easy-to-use federated learning platform
A Benchmark of Real-world Image Dataset for Federated Learning
FedScale is a scalable and extensible open-source federated learning (FL) platform.
Simulation framework for accelerating research in Private Federated Learning
A collection of Google research projects related to Federated Learning and Federated Analytics.
Source code for MICCAI 2023 paper entitled: 'FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling'
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
COALA: A Practical and Vision-Centric Federated Learning Platform, accepted to ICML'24
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
An Open Framework for Federated Learning.