#Federated-learning
Showing 60 of 69 repositories tagged #federated-learning, ranked by stars
A curated list of references for MLOps
Perform data science on data that remains in someone else's server
Flower: A Friendly Federated AI Framework
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
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
NVIDIA Federated Learning Application Runtime Environment
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.
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Benchmark of federated learning. Dedicated to the community. 🤗
Awesome Multitask Learning Resources
Complete-Life-Cycle-of-a-Data-Science-Project
An experimental platform for federated learning.
resources about federated learning and privacy in machine learning
The first open Federated Learning framework implemented in C++ and Python.
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
Infrastructures™ for Machine Learning Training/Inference in Production.
A curated list of awesome Distributed Deep Learning resources.
Manage federated learning workload using cloud native technologies.
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Simulate a federated setting and run differentially private federated learning.
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
An easy-to-use federated learning platform
Galaxy Federated Learning Framework （星际联邦学习框架）
Shepherd: A foundational framework enabling federated instruction tuning for large language models
Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.
Material workbench for the master-level course CS-E4740 "Federated Learning"
Project Tapestry aims to give every nation and participant frontier AI they can call their own — uniting a global consortium to train a shared frontier model from which partners build and own sovereign models aligned to their national, socio-cultural, and industrial needs.
DISCO is a code-free and installation-free browser platform that allows any non-technical user to collaboratively train machine learning models without sharing any private data.
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
Qualitative Neural Networks as a deep-think paradigm
Bayesian Nonparametric Federated Learning of Neural Networks
Kuscia(Kubernetes-based Secure Collaborative InfrA) is a K8s-based privacy-preserving computing task orchestration framework.
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
The core runtime engine for Ambianic Edge devices.
FATE's Visualization Toolkit
I put all my exploration around AI in reproducible notebooks in this repository
Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)
A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.
An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.
This repo contains all the notebooks mentioned in blog.
(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
Paddle with Decentralized Trust based on Xuperchain
The official Syft worker for secure on-device machine learning
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
NEBULA: A Platform for Decentralized Federated Learning
A Peer-to-Peer Payment System for Federated Learning
A scalable sharding solution for Blockchain based Federated Learning. SCaFL or ScaleSFL?
Federated gradient boosted decision tree learning
FedCV: An Industrial-grade Federated Learning Framework for Diverse Computer Vision Tasks
Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]