Trending repositories for topic federated-learning

Flower: A Friendly Federated AI Framework

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

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

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

NVIDIA Federated Learning Application Runtime Environment

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

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

An open framework for Federated Learning.

P2P Federated Learning (p2pfl) is a decentralized federated learning library, it allows creating basic federated learning systems on p2p networks using gossip protocols.

FEDn: An enterprise-ready federated learning framework. This repository contains the Python framework, CLI and API.

Model-Contrastive Federated Learning (CVPR 2021)

Breaching privacy in federated learning scenarios for vision and text

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

Manage federated learning workload using cloud native technologies.

An experimental platform for federated learning.

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

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

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

A curated list of references for MLOps

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

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

P2P Federated Learning (p2pfl) is a decentralized federated learning library, it allows creating basic federated learning systems on p2p networks using gossip protocols.

FEDn: An enterprise-ready federated learning framework. This repository contains the Python framework, CLI and API.

NVIDIA Federated Learning Application Runtime Environment

Model-Contrastive Federated Learning (CVPR 2021)

Flower: A Friendly Federated AI Framework

Breaching privacy in federated learning scenarios for vision and text

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

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

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

An open framework for Federated Learning.

Manage federated learning workload using cloud native technologies.

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

An experimental platform for federated learning.

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

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

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

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

A curated list of references for MLOps

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

Flower: A Friendly Federated AI Framework

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

A curated list of references for MLOps

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

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

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

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

NVIDIA Federated Learning Application Runtime Environment

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

An Industrial Grade Federated Learning Framework

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

A curated list of resources related to privacy engineering

Model-Contrastive Federated Learning (CVPR 2021)

An open framework for Federated Learning.

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

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

Manage federated learning workload using cloud native technologies.

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

Awesome Multitask Learning Resources

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

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

Federated learning framework made by researchers for researchers :)

A curated list of resources related to privacy engineering

P2P Federated Learning (p2pfl) is a decentralized federated learning library, it allows creating basic federated learning systems on p2p networks using gossip protocols.

Model-Contrastive Federated Learning (CVPR 2021)

NVIDIA Federated Learning Application Runtime Environment

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

FEDn: An enterprise-ready federated learning framework. This repository contains the Python framework, CLI and API.

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 flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

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

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

[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

Flower: A Friendly Federated AI Framework

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

Manage federated learning workload using cloud native technologies.

An open framework for Federated Learning.

Breaching privacy in federated learning scenarios for vision and text

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

Simulation framework for accelerating research in Private Federated Learning

Flower: A Friendly Federated AI Framework

A curated list of references for MLOps

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

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

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

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

An Industrial Grade Federated Learning Framework

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

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

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

An easy-to-use federated learning platform

NVIDIA Federated Learning Application Runtime Environment

Federated learning framework made by researchers for researchers :)

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 a...

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

An open framework for Federated Learning.

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 experimental platform for federated learning.

Benchmark of federated learning. Dedicated to the community. 🤗

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

Federated learning framework made by researchers for researchers :)

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

✨✨A curated list of latest advances on Foundation Models with Federated Learning

P2P Federated Learning (p2pfl) is a decentralized federated learning library, it allows creating basic federated learning systems on p2p networks using gossip protocols.

A curated list of resources related to privacy engineering

Fast integration of backdoor attacks in machine learning and federated learning.

Homomorphic Encryption and Federated Learning based Privacy-Preserving

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

Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

[ICLR 2023] Test-time Robust Personalization for Federated Learning

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

Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)

[IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)

NVIDIA Federated Learning Application Runtime Environment

PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).

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.

[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

[KDD 2023] FedMultimodal

Breaching privacy in federated learning scenarios for vision and text

Simulation framework for accelerating research in Private Federated Learning

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

HeFlwr: Federated Learning for Heterogeneous Devices

A Git-like version control file system for data lineage & data collaboration.

Fast integration of backdoor attacks in machine learning and federated learning.

✨✨A curated list of latest advances on Foundation Models with Federated Learning

Flower: A Friendly Federated AI Framework

A curated list of references for MLOps

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 a...

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

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

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

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

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

An Industrial Grade Federated Learning Framework

Simulation framework for accelerating research in Private Federated Learning

Benchmark of federated learning. Dedicated to the community. 🤗

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

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。

An easy-to-use federated learning platform

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

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

An experimental platform for federated learning.

机器学习和差分隐私的论文笔记和代码仓

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

NVIDIA Federated Learning Application Runtime Environment

Federated learning framework made by researchers for researchers :)

NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference

[IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

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

The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".

Material workbench for the master-level course CS-E4740 "Federated Learning"

Active Client Selection for Federated Learning

[KDD 2023] FedMultimodal

Homomorphic Encryption and Federated Learning based Privacy-Preserving

Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.

[DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

A curated list of resources related to privacy engineering

P2P Federated Learning (p2pfl) is a decentralized federated learning library, it allows creating basic federated learning systems on p2p networks using gossip protocols.

[ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.

机器学习和差分隐私的论文笔记和代码仓

Benchmark of federated learning. Dedicated to the community. 🤗

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

A curated list of machine learning and AI projects.

Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)

PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning