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federated-learning x

67 search results found

Pysyft ⭐ 9,188

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

Flower ⭐ 3,545

Flower: A Friendly Federated Learning Framework

Federatedscope ⭐ 1,128

An easy-to-use federated learning platform

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

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

Complete Life Cycle Of A Data Science Project ⭐ 499

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

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).

Fedscale ⭐ 347

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

Federated Learning In Pytorch ⭐ 289

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

Backdoors101 ⭐ 231

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

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. )

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

Msrflute ⭐ 164

Federated Learning Utilities and Tools for Experimentation

Breaching ⭐ 143

Breaching privacy in federated learning scenarios for vision and text

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.

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

Model-Contrastive Federated Learning (CVPR 2021)

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

Federated Learning ⭐ 62

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

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

Dl_notebooks ⭐ 42

This repo contains all the notebooks mentioned in blog.

Decentralized Ml ⭐ 42

Full stack service enabling decentralized machine learning on private data

A Python library for rapid prototyping, experimenting, and logging of federated learning using state-of-the-art models and datasets. Built using PyTorch and PyTorch Lightning.

A simulation framework for Federated Learning written in PyTorch

Fedtorch ⭐ 37

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

Fedshare ⭐ 30

PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.

Federated Pytorch Test ⭐ 27

Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

Superfed ⭐ 26

(SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)

Federated Ml ⭐ 26

Detect anomalies in network traffic data using Federated Machine Learning technique.

A Comprehensive and Versatile Open-Source Federated Learning Framework

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

Attentive Federated Learning for Private NLM

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning [ICLR‘23, Best Paper Award at ECCV’22 AROW Workshop]

Python module for simulating gossip learning.

Communication In Cross Silo Fl ⭐ 21

Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)

Scaffold Federated Learning ⭐ 20

PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).

Splitmix ⭐ 20

[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time

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

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)

Federated Learning And Split Learning With Raspberry Pi ⭐ 17

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Per Fedavg ⭐ 16

PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach

Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)

Dataset_grouper ⭐ 12

A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)

Federated Learning Framework

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

Pflsynth ⭐ 10

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)

An FL algorithm inspired by FedGMA

Cyclicaggregation ⭐ 8

PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS

Encrypted_ai_finance ⭐ 8

Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning

Defending Against Backdoors With Robust Learning Rate ⭐ 7

The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".

Cluster_federated_learning ⭐ 7

关于簇联邦学习的一个小小的改进。自动确定簇个数，提高簇模型精度，缓解用户孤立的问题

Decentralized Ml ⭐ 7

Interoperable and decentralized machine learning.

Federated Benchmark ⭐ 7

A Benchmark of Real-world Image Dataset for Federated Learning

Federated_he ⭐ 7

Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.

Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.

Data Free Ensemble Selection For One Shot Federated Learning ⭐ 6

Data-Free Ensemble Selection For One-Shot Federated Learning

Skin Cancer Classifier ⭐ 6

Skin cancer classification demo using Federated Learning techniques

Federated Knowledge Alignment ⭐ 5

Fedl_pytorch ⭐ 5

This repository implements FEDL using pytorch

A generic Federated Learning simulator!

Federated Learning ⭐ 5

An implementation of Federated Learning using Pytorch and PySyft

Flowermonthly ⭐ 5

Short, easy to run, code examples presented in the Flower's FlowerMonthly online meetings.

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