Trending repositories for topic federated-learning

Flower: A Friendly Federated AI Framework

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.

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

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

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

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

A curated list of references for MLOps

Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainab...

An experimental platform for federated learning.

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

An Open Framework for Federated Learning.

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。

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

Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainab...

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

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.

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

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

An experimental platform for federated learning.

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

An Open Framework for Federated Learning.

Flower: A Friendly Federated AI Framework

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

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。

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

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.

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

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

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

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

A curated list of references for MLOps

Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainab...

An experimental platform for federated learning.

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

An Open Framework for Federated Learning.

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。

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

Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainab...

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

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.

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

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

An experimental platform for federated learning.

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

An Open Framework for Federated Learning.

Flower: A Friendly Federated AI Framework

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

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。

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

A curated list of references for MLOps

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

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

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

An Industrial Grade Federated Learning Framework

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

Stalactite is the framework implementing the vertical federated learning paradigm.

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

An easy-to-use federated learning platform

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

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

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

NVIDIA Federated Learning Application Runtime Environment

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

An experimental platform 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 on a...

Benchmark of federated learning. Dedicated to the community. 🤗

机器学习和差分隐私的论文笔记和代码仓

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

Homomorphic Encryption and Federated Learning based Privacy-Preserving

FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)

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

AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.

📦 Collect some Asynchronous Federated Learning papers.

Awesome Federated Unlearning (FU) Papers (Continually Update)

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

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

A curated list of machine learning and AI projects.

(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"

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

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.

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

A curated list of resources related to privacy engineering

机器学习和差分隐私的论文笔记和代码仓

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

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

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 Datasets Management in the Era of AI.

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

AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning

Stalactite is the framework implementing the vertical federated learning paradigm.

FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)

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.

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

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

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

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

Benchmark of federated learning. Dedicated to the community. 🤗

An easy-to-use federated learning platform

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

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.

An experimental platform for federated learning.

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。

NVIDIA Federated Learning Application Runtime Environment

机器学习和差分隐私的论文笔记和代码仓

Federated learning framework made by researchers for researchers :)

Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.

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

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

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

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

Awesome Federated Unlearning (FU) Papers (Continually Update)

Homomorphic Encryption and Federated Learning based Privacy-Preserving

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

[KDD 2023] FedMultimodal

Active Client Selection for Federated Learning

P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance on...

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

A curated list of resources related to privacy engineering

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

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

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

Nerlnet is a framework for research and development of distributed machine learning models on IoT

机器学习和差分隐私的论文笔记和代码仓

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