Trending repositories for topic federated-learning

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

A curated list of references for MLOps

Flower: A Friendly Federated AI Framework

An Open Framework for Federated Learning.

An Industrial Grade Federated Learning Framework

An experimental platform for federated learning.

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)

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...

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

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

Awesome Federated Unlearning (FU) Papers (Continually Update)

You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.

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

An easy-to-use federated learning platform

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

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

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...

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

Awesome Federated Unlearning (FU) Papers (Continually Update)

You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.

An Open Framework for Federated Learning.

An experimental platform for federated learning.

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.

Flower: A Friendly Federated AI Framework

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

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

An easy-to-use federated learning platform

An Industrial Grade Federated Learning Framework

A curated list of references for MLOps

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

Flower: A Friendly Federated AI Framework

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

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

A curated list of references for MLOps

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

An Industrial Grade Federated Learning Framework

An easy-to-use federated learning platform

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)

NVIDIA Federated Learning Application Runtime Environment

An Open Framework for Federated Learning.

A Git-like Version Control File System for Datasets Management in the Era of AI.

An experimental platform for federated learning.

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. )

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

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...

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

📦 Collect some Asynchronous Federated Learning papers.

Simulate a federated setting and run differentially private federated learning.

A Git-like Version Control File System for Datasets Management in the Era of AI.

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...

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

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

A curated list of machine learning and AI projects.

📦 Collect some Asynchronous Federated Learning papers.

Awesome Federated Unlearning (FU) Papers (Continually Update)

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

NVIDIA Federated Learning Application Runtime Environment

You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.

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. )

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

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

An experimental platform for federated learning.

An Open Framework for Federated Learning.

An easy-to-use federated learning platform

Flower: A Friendly Federated AI Framework

Simulate a federated setting and run differentially private federated learning.

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

Flower: A Friendly Federated AI Framework

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

A curated list of references for MLOps

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

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)

An Industrial Grade Federated Learning Framework

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

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

An easy-to-use federated learning platform

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...

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

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

NVIDIA Federated Learning Application Runtime Environment

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

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 curated list of latest advances on Foundation Models with Federated Learning

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

A Git-like Version Control File System for Datasets Management in the Era of AI.

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

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

A Git-like Version Control File System for Datasets Management in the Era of AI.

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...

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

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

You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.

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

(CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient

Awesome Federated Unlearning (FU) Papers (Continually Update)

Homomorphic Encryption and Federated Learning based Privacy-Preserving

Federated learning framework made by researchers for researchers :)

📦 Collect some Asynchronous Federated Learning papers.

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

Programming Assignments and Quizzes from all courses within the Blockchain Specialization offered by The University at Buffalo and The State University of New York and key takeaways from study and re...

机器学习和差分隐私的论文笔记和代码仓

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

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

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

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

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

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

(CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient

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)

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

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

An Industrial Grade Federated Learning Framework

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

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

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

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

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

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 :)

You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

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...

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

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

Active Client Selection for Federated Learning

A curated list of resources related to privacy engineering

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

Homomorphic Encryption and Federated Learning based Privacy-Preserving

[KDD 2023] FedMultimodal

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

Awesome Federated Unlearning (FU) Papers (Continually Update)

[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

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

机器学习和差分隐私的论文笔记和代码仓

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

A curated list of machine learning and AI projects.

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