There are 127 repositories under federated-learning topic.
A curated list of references for MLOps
An Industrial Grade Federated Learning Framework
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 on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
A unified framework for privacy-preserving data analysis and machine learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
An easy-to-use federated learning platform
A PyTorch Implementation of Federated Learning
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台,支持多方安全计算、联邦学习、隐私求交、匿踪查询等。
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
算法刷题指南、Java多线程与高并发、Java集合源码、Spring boot、Spring Cloud等笔记,源码级学习笔记后续也会更新。
An Open Framework for Federated Learning.
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Awesome Multitask Learning Resources
Complete-Life-Cycle-of-a-Data-Science-Project
Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
A Privacy-Preserving Framework Based on TensorFlow
resources about federated learning and privacy in machine learning
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
Handy PyTorch implementation of Federated Learning (for your painless research)
Manage federated learning workload using cloud native technologies.
A curated list of awesome Distributed Deep Learning resources.
Infrastructures™ for Machine Learning Training/Inference in Production.
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)