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non-iid

Here are 12 public repositories matching this topic...

TsingZ0 / PFLlib

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

python iot privacy attack distributed-computing pytorch personalization imagenet differential-privacy privacy-protection heterogeneity federated-learning dlg non-iid domainnet

Updated Nov 11, 2024
Python

microsoft / PersonalizedFL

Personalized federated learning codebase for research

machine-learning deep-learning federated-learning non-iid personalized-federated-learning

Updated Oct 4, 2023
Python

TsingZ0 / FedALA

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

pytorch personalization adaptation federated-learning non-iid

Updated Nov 11, 2024
Python

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 prov…

pytorch sgd classification heterogeneity federated-learning imbalance non-iid fedavg fedprox fedsgd fedavgm fedir fedvc

Updated Feb 27, 2022
Python

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.

deep-learning neural-network iid collaborative-filtering recommendation-system recommendation-engine recommender-system recommendation-algorithms federated movie-recommendation federated-learning distributed-learning neural-collaborative-filtering ncf non-iid deep-recommender-system

Updated Apr 13, 2023
Python

luisoala / non-iid-ssdl

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

deep-neural-networks deep-learning semi-supervised-learning ood non-iid data-shift distribution-shift

Updated Apr 23, 2022
Python

aadityarock2000 / Federated_Flower

Implementation of Federated Learning using the Flower Framework

deep-learning flower federated-learning non-iid

Updated Jul 31, 2021
Python

Abtinmy / Clustered-FL-BrainAGE

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

clustering pytorch mri resnet federated-learning brain-age-prediction non-iid

Updated Oct 26, 2023
Python

vishnux / SecureShare

Federated Learning for Sentiment Analysis

machine-learning data-privacy secure-communication federated-learning non-iid

Updated Jun 26, 2024
Python

jtirana98 / adHOC-SL

federated-learning split-learning non-iid feature-imbalance label-imbalance

Updated Apr 27, 2023
Python

yuweisunn / homogeneous-learning-tensorflow

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

reinforcement-learning tensorflow decentralized-machine-learning non-iid global-workspace-theory

Updated Jan 2, 2024
Python

bramvandartel / MIA-IFL

Membership Inference Attacks on Imbalanced Federated Learning setups

federated-learning data-imbalance membership-inference-attack non-iid

Updated Oct 25, 2024
Python

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