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310 search results found

Decentralized Ml ⭐ 42

Full stack service enabling decentralized machine learning on private data

An Efficient and Easy-to-use Federated Learning Framework.

Flbenchmark Toolkit ⭐ 39

Federated Learning Framework Benchmark (UniFed)

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.

Privacyfl ⭐ 39

A Simulator for Privacy Preserving Federated Learning

[ECCV 2022] Personalizing Federated Medical Image Segmentation

Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"

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.

Lassoadmm ⭐ 36

Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"

Attack Adaptive Aggregation In Federated Learning ⭐ 36

This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.

Oort: Efficient Federated Learning via Guided Participant Selection

Fedaudio ⭐ 36

[ICASSP 2023] FedAudio: A Federated Learning Benchmark for Audio and Speech Tasks

Photolabellerserver ⭐ 35

Federated Learning: Parameter Server doing aggregation of updates to a model coming from clients participating in a Federated Learning setup. See also the Android application companion at https://github.com/mccorby/PhotoLabeller

MLSys Workshop NeurIPS 2023 - Redco: A Lightweight Tool to Automate Distributed Training and Inference

Federated Learning ⭐ 33

tf implementation of federated learning

Aweome Heathcare Federated Learning ⭐ 33

A curated list of Federated Learning papers/articles and recent advancements.

🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pytorch/Tensorflow, single-machine/distributed, synchronized/asynchronous.

Federated Learning Backdoor ⭐ 33

ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341

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

Addressing Class Imbalance Fl ⭐ 32

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

Federated Learning Token ⭐ 31

Federated learning on blockchain using smart contracts. Distributed privacy-preserving data science technology.

Flpytorch ⭐ 30

FL_PyTorch: Optimization Research Simulator for 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

Federated_pca ⭐ 27

Federated Principal Component Analysis Revisited!

Federated Ml ⭐ 26

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

Federated Model Aggregation ⭐ 26

The Federated Model Aggregation (FMA) Service is a collection of installable python components that make up the generic workflow/infrastructure needed for federated learning.

Fedadapt ⭐ 26

Adaptive Offloading of Federated Learning on IoT Devices

A Comprehensive and Versatile Open-Source Federated Learning Framework

Superfed ⭐ 26

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

Scaffold Pytorch ⭐ 26

Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

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

PyTorch implementation of Layer-wised Model Aggregation for Personalized 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.

Attentive Federated Learning for Private NLM

Openriskscore ⭐ 25

A python framework for risk scoring

Collaborativefairfederatedlearning ⭐ 25

Official implementation of our work "Collaborative Fairness in Federated Learning."

Vantage6 ⭐ 24

Docker CLI package for the vantage6 infrastructure

Awesome Federated Unlearning ⭐ 24

Awesome Federated Unlearning (FU) Papers (Continually Update)

Fedstellar ⭐ 24

Fedstellar: A Platform for Decentralized Federated Learning

Semifl Semi Supervised Federated Learning For Unlabeled Clients With Alternate Training ⭐ 24

[NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training

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

Awesome Federated Learning ⭐ 23

federated-learning

Code for CIKM 2021 paper: Differentially Private Federated Knowledge Graphs Embedding (https://arxiv.org/abs/2105.07615)

Federated Learning Mini Framework ⭐ 22

Federated Learning mini-framework with Keras

Python module for simulating gossip learning.

Decentralized Ml Infra ⭐ 22

Blockchain infrastructure for decentralized machine learning (decentralized-ml repo).

Rofl Project Code ⭐ 22

Communication In Cross Silo Fl ⭐ 21

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

Fl Suite ⭐ 21

Federated Learning Suite

Shapleyvaluefl ⭐ 21

A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.

Fed_iot_guard ⭐ 21

Detection of IoT devices infected by malwares from their network communications, using federated machine learning

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

[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"

Bflc Demo ⭐ 20

This project proposes a decentralized federated learning framework based on blockchain, that is, a Block-chain-based Federated Learning framework with Committee consensus (BFLC). Without a centralized server, the framework uses blockchain for the global model storage and the local model update exchange.

This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"

Blockchain_specialization_coursera ⭐ 19

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 research of myself.

Nerlnet is a distributed machine learning platform for experiments and IoT deployment.

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

Federated posterior averaging implemented in JAX

🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多 federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进行聚类簇的动态划分。

Private Ml For Health ⭐ 18

Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)

Recsys2021 Pursuing Privacy ⭐ 18

Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems in Amsterdam, Netherlands

Federated ⭐ 18

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

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

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

Federated Learning Infra Architecture on Kubernetes(EKS)

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

Private Cross Silo Fl ⭐ 17

[NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"

openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as standalone library and in a federated learning context where data remain in distinct (separate) servers

FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)

FEDL-Federated Learning algorithm using TensorFlow

Playground ⭐ 16

Playground code. Things that have been deprecated but may be useful in the future.

Fl Analysis ⭐ 16

Deml Golem ⭐ 16

Proof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture

Per Fedavg ⭐ 16

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

Gradient Driven Rewards To Guarantee Fairness In Collaborative Machine Learning ⭐ 16

Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurIPS'21.

[arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning

Openprivacytech.org ⭐ 15

Welcome to our official website

Fed Multimodal ⭐ 15

Gifd_gradient_inversion_attack ⭐ 15

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

Fedfusion ⭐ 15

The implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)

Meta Har ⭐ 15

The source code and collected data for the Meta-HAR (WWW 2021) paper.

Grouprox ⭐ 15

FedGroup, A Clustered Federated Learning framework based on Tensorflow

A curated list of machine learning and AI projects.

[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.

Privacy Preserving Bandits ⭐ 14

Privacy-Preserving Bandits (MLSys'20)

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

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

Primihub Docs ⭐ 13

PrimiHub document website

Pyariesfl ⭐ 13

Federated Learning on HyperLedger Aries

Federated Learning Poc ⭐ 13

Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.

Modelkeeper ⭐ 13

A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup

Similarity Guided Model Aggregation for Federated Learning

Apprenticeship ⭐ 13

A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.

Secureaggregation ⭐ 13

personal implementation of secure aggregation protocol

Srijan Gsoc 2020 ⭐ 12

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

Dataset_grouper ⭐ 12

101-200 of 310 search results

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