TsingZ0/PFLlib

Master Federated Learning in 2 Hours—Run It on Your PC!

Language: Python - Size: 45.7 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1,726 - Forks: 346

arthurnfmc/NonIID-MovieRecommendation

The project aims to explore Federated Learning in scenarios with non-IID data (non-Independent and Identically Distributed) for the task of movie recommendation.

Language: Python - Size: 40 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

chaoyanghe/Awesome-Federated-Learning

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

Size: 210 KB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 1,950 - Forks: 329

microsoft/PersonalizedFL

Personalized federated learning codebase for research

Language: Python - Size: 272 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 383 - Forks: 51

weimingwill/awesome-federated-learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

Language: Shell - Size: 271 KB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 692 - Forks: 97

monk1337/Aweome-Heathcare-Federated-Learning

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

Size: 454 KB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 93 - Forks: 16

josericodata/SyntheticDataGeneratorApp

Generate and download free synthetic datasets instantly! A Streamlit app with built-in statistical validation tools like Chi-Square and Mutual Information.

Language: Python - Size: 7.41 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

Language: Python - Size: 135 MB - Last synced at: 23 days ago - Pushed at: about 2 years ago - Stars: 36 - Forks: 5

TsingZ0/FedALA

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

Language: Python - Size: 22.5 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 110 - Forks: 17

vishnux/SecureShare

Federated Learning for Sentiment Analysis

Language: Python - Size: 1.53 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

luisoala/non-iid-ssdl

A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures

Language: Python - Size: 1.04 MB - Last synced at: 5 days ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1

baolongnguyenmac/fl-ml

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

Language: Jupyter Notebook - Size: 34.6 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 5

jtirana98/adHOC-SL

Language: Python - Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 0

Abtinmy/Clustered-FL-BrainAGE

Official implementation of paper "Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach"

Language: Python - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

jyaacoub/FL-ViT

Looking at optimizing the performance of Vision Transformers under a federated learning environment

Language: Jupyter Notebook - Size: 160 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

yuweisunn/homogeneous-learning-tensorflow

This is a Tensorflow implementation of the paper Homogeneous Learning: Self-Attention Decentralized Deep Learning.

Language: Python - Size: 2.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

c-gabri/Federated-Learning-PyTorch

PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are provided

Language: Python - Size: 126 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 41 - Forks: 9

aadityarock2000/Federated_Flower

Implementation of Federated Learning using the Flower Framework

Language: Python - Size: 1.41 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

codymlewis/hypno

Just a casual project that provides a minor solution to the distributed learning of block non-i.i.d. data

Language: Jupyter Notebook - Size: 6.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0