Awesome Open Source

Programming Languages

Search results for federated learning

federated-learning x

310 search results found

Awesome Mlops ⭐ 11,615

A curated list of references for MLOps

Pysyft ⭐ 9,188

Perform data science on data that remains in someone else's server

An Industrial Grade Federated Learning Framework

Fedml ⭐ 3,946

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, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for generative AI

Flower ⭐ 3,545

Flower: A Friendly Federated Learning Framework

Secretflow ⭐ 2,101

A unified framework for privacy-preserving data analysis and machine learning

Awesome Federated Learning ⭐ 1,481

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Awesome Federated Machine Learning ⭐ 1,425

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Primihub ⭐ 1,146

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。

Federatedscope ⭐ 1,128

An easy-to-use federated learning platform

Awesome Fl ⭐ 1,103

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Federated Learning ⭐ 1,042

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

Personalized federated learning simulation platform with non-IID and unbalanced dataset

Medmnist ⭐ 903

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Federated Learning Pytorch ⭐ 902

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Openhufu ⭐ 699

OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.

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.

Metisfl ⭐ 530

The first open Federated Learning framework implemented in C++ and Python.

Complete Life Cycle Of A Data Science Project ⭐ 499

Complete-Life-Cycle-of-a-Data-Science-Project

Awesome Federated Learning ⭐ 492

resources about federated learning and privacy in machine learning

Awesome Federated Learning ⭐ 482

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

Niid Bench ⭐ 463

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Rosetta ⭐ 451

A Privacy-Preserving Framework Based on TensorFlow

Awesome Federated Computing ⭐ 448

📚 👓 A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

Kubefate ⭐ 407

Manage federated learning workload using cloud native technologies.

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

Multitask Learning ⭐ 374

Awesome Multitask Learning Resources

Fedscale ⭐ 347

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Machine Learning Diff Private Federated Learning ⭐ 336

Simulate a federated setting and run differentially private federated learning.

Fl Bench ⭐ 316

Benchmark of federated learning. Dedicated to the community. 🤗

Awesome Distributed Deep Learning ⭐ 309

A curated list of awesome Distributed Deep Learning resources.

Federated Learning In Pytorch ⭐ 289

Handy PyTorch implementation of Federated Learning (for your painless research)

Security and Privacy Risk Simulator for Machine Learning

Substra ⭐ 266

Low-level Python library used to interact with a Substra network

FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

Backdoors101 ⭐ 231

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Awesome Federated Learning On Graph And Gnn Papers ⭐ 225

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

An easy-to-use federated learning platform

Personalizedfl ⭐ 223

Personalized federated learning codebase for research

Differential Privacy Based Federated Learning ⭐ 212

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Awesome Edge Machine Learning ⭐ 200

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

Galaxy Federated Learning Framework （星际联邦学习框架）

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

Syfertext ⭐ 176

A privacy preserving NLP framework

Awesome Ai Infrastructures ⭐ 171

Infrastructures™ for Machine Learning Training/Inference in Production.

Msrflute ⭐ 164

Federated Learning Utilities and Tools for Experimentation

Awesome Differential Privacy And Meachine Learning ⭐ 163

机器学习和差分隐私的论文笔记和代码仓

Tlbook Code ⭐ 163

Code for Transfer Learning book--《迁移学习导论》配套代码

Breaching ⭐ 143

Breaching privacy in federated learning scenarios for vision and text

Fate Serving ⭐ 131

A scalable, high-performance serving system for federated learning models

Async Fl ⭐ 123

一个万用联邦学习框架，自由切换线程和进程模式。A universal federated learning framework, free to switch thread and process modes

Fair_flearn ⭐ 121

Fair Resource Allocation in Federated Learning (ICLR '20)

Federatedgpt Shepherd ⭐ 118

Shepherd: A lightweight, foundational framework enabling federated instruction tuning for large language models

Federatedandroidtrainer ⭐ 117

See new version https://github.com/mccorby/PhotoLabeller

Fedtree ⭐ 117

A tree-based federated learning system (MLSys 2023)

Decentralized & federated privacy-preserving ML training, using p2p networking, in JS

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.

Awesome Forgetting In Deep Learning ⭐ 104

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

Primihub Platform ⭐ 103

PrimiHub platform is a Muti-Party Computation and Muti-Party federated task security scheduling platform for MPC and FL point to point service.

Personalized Federated Learning (pFedMe) using Pytorch (NeurIPS 2020)

Photolabeller ⭐ 101

Federated Learning: Client application doing classification of images and local training. Works better with the Parameter Server at https://github.com/mccorby/PhotoLabellerServer

Ambianic Edge ⭐ 98

The core runtime engine for Ambianic Edge devices.

Model-Contrastive Federated Learning (CVPR 2021)

Fate Board ⭐ 95

FATE's Visualization Toolkit

Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

Paddledtx ⭐ 84

Paddle with Decentralized Trust based on Xuperchain

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Heterofl Computation And Communication Efficient Federated Learning For Heterogeneous Clients ⭐ 79

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

Front End ⭐ 72

Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.

Awesome Asynchronous Federated Learning ⭐ 68

📦 Collect some Asynchronous Federated Learning papers.

Flpapers ⭐ 68

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

Federated Learning ⭐ 62

An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

Federated Xgboost ⭐ 60

Federated gradient boosted decision tree learning

Kotlinsyft ⭐ 60

The official Syft worker for secure on-device machine learning

Arxiv Daily ⭐ 58

🎓 Automatically Update Some Fields Papers Daily using Github Actions (Update Every 12th hours)

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning

Pyvertical ⭐ 52

Privacy Preserving Vertical Federated Learning

Kuscia(Kubernetes-based Secure Collaborative InfrA) is a K8s-based privacy-preserving computing task orchestration framework.

Flsystem Paper ⭐ 49

Federated Learning Systems Paper List

Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'

Asynchronous Federated Learning ⭐ 49

Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)

Dynamic Fl ⭐ 49

This is all you need for a brand new but interesting topic -- dynamic federated learning, including research papers, datasets, tools, etc.

Distributed Learning Contributivity ⭐ 48

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

Federated Learning Papers ⭐ 48

Papers related to federated learning in top conferences (2020-2024).

Awesome Privacy Engineering ⭐ 47

A curated list of resources related to privacy engineering

Fedrolex ⭐ 47

[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang

Byzantine Federeated Rl ⭐ 46

code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience

Probabilistic Federated Neural Matching ⭐ 45

Bayesian Nonparametric Federated Learning of Neural Networks

Self Balancing Federated Learning ⭐ 43

Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"

ICLR 2023 - FedFA: Federated Feature Augmentation

Challenge ⭐ 43

The repo for the FeTS Challenge

Decentralized Ml ⭐ 42

Full stack service enabling decentralized machine learning on private data

1-100 of 310 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.