non-iid

There are 0 repository under non-iid topic.

chaoyanghe / Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
federated-learning machine-learning distributed-optimization non-iid vertical-federated-learning decentralized-federated-learning hierarchical-federated-learning neural-architecture-search transfer-learning continual-learning semi-supervised-learning adversarial-attack-and-defense privacy communication-efficiency straggler-problem computation-efficiency wireless-communication interpretability incentive-mechanism computer-vision
1872
TsingZ0 / PFLlib
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
non-iid federated-learning personalization pytorch python distributed-computing heterogeneity differential-privacy privacy imagenet domainnet iot attack dlg privacy-protection
Language:Python 1147
weimingwill / awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
federated-learning machine-learning data-privacy communication-efficiency federated-optimization differential-privacy-deep-learning distributed-optimization federated-learning-framework privacy meta-learning decentralized-federated-learning statistical-heterogeneity non-iid
Language:Shell 642
microsoft / PersonalizedFL
Personalized federated learning codebase for research
federated-learning non-iid personalized-federated-learning deep-learning machine-learning
Language:Python 310
TsingZ0 / FedALA
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
adaptation federated-learning non-iid personalization pytorch
Language:Python 84
monk1337 / Aweome-Heathcare-Federated-Learning
A curated list of Federated Learning papers/articles and recent advancements.
artifical-intelligense awesome-list awesome-machine-learning blockchain-medical-applications data-privacy deep-learning deep-learning-healthcare distributed-machine-learning healthcare-data healthcare-datasets healthcare-imaging life-science-data machine-learning machine-learning-healthcare machine-learning-privacy medical-data-pipeline non-iid vertical-federated-learning federated-learning healthcare-federated-learning
70
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
federated-learning fedsgd fedavg fedavgm fedir fedvc fedprox non-iid imbalance heterogeneity classification pytorch sgd
Language:Python 61
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.
federated-learning neural-network recommender-system distributed-learning federated iid movie-recommendation ncf neural-collaborative-filtering non-iid recommendation-engine recommendation-system collaborative-filtering deep-learning deep-recommender-system recommendation-algorithms
Language:Python 25
baolongnguyenmac / fl-ml
This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"
federated-learning flower meta-learning non-iid personalization-layer pytorch-federated-learning
Language:Jupyter Notebook 25
jessijzhao / FedCD
FedCD: Improving Performance in non-IID Federated Learning
non-iid federated-learning quantization
Language:Jupyter Notebook 11
jtirana98 / adHOC-SL
feature-imbalance federated-learning label-imbalance non-iid split-learning
Language:Python 6
yuweisunn / homogeneous-learning-tensorflow
This is a Tensorflow implementation of the paper Homogeneous Learning: Self-Attention Decentralized Deep Learning.
reinforcement-learning non-iid decentralized-machine-learning tensorflow global-workspace-theory
Language:Python 6
aadityarock2000 / Federated_Flower
Implementation of Federated Learning using the Flower Framework
federated-learning non-iid flower deep-learning
Language:Python 4
luisoala / non-iid-ssdl
A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
deep-learning deep-neural-networks distribution-shift ood semi-supervised-learning non-iid data-shift
Language:Python 4
jyaacoub / FL-ViT
Looking at optimizing the performance of Vision Transformers under a federated learning environment
federated-learning transformer vision-transformer non-iid
Language:Jupyter Notebook 3
Abtinmy / Clustered-FL-BrainAGE
Official implementation of paper "Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach"
brain-age-prediction clustering federated-learning mri non-iid pytorch resnet
Language:Python 2
codymlewis / hypno
Just a casual project that provides a minor solution to the distributed learning of block non-i.i.d. data
distributed-learning federated-learning non-iid
Language:Jupyter Notebook 0