non-iid-data

Here are 11 public repositories matching this topic...

TsingZ0 / FedTGP

AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

prototype resnet heterogeneity federated-learning communication-efficient colloboration contrastive-learning vision-transformer non-iid-data

Updated Aug 30, 2024
Python

TsingZ0 / FedKTL

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CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning

generative-model resnet heterogeneity federated-learning communication-efficient stylegan colloboration vision-transformer domain-alignment stable-diffusion non-iid-data large-small-model

Updated Sep 9, 2024
Python

TsingZ0 / FedCP

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KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy

personalization heterogeneity federated-learning feature-disentanglement conditional-computing non-iid-data

Updated Apr 21, 2024
Python

TsingZ0 / DBE

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NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space

lightweight personalization representation-learning domain-adaptation federated-learning feature-disentanglement theoratical non-iid-data

Updated Aug 9, 2024
Python

TsingZ0 / GPFL

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ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

iot heterogeneity generalization overfitting federated-learning conditional-computing non-iid-data

Updated Sep 12, 2024
Python

rezafotohi / FedAnil

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FedAnil is a secure blockchain-enabled Federated Deep Learning Model to address non-IID data and privacy concerns. This repo hosts a simulation for FedAnil written in Python.

blockchain accuracy homomorphic-encryption privacy-preserving federated-learning privacy-preserving-machine-learning poisoning-attacks non-iid-data inference-attacks intelligent-enterprises

Updated May 26, 2024
Python

jtirana98 / NIID-Bench-adhocSL

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testing adhocSL

data-sharing federated-learning split-learning non-iid-data

Updated Jun 28, 2024
Python

FedAnil+ is a novel lightweight, and secure Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil+ written in Python.

blockchain accuracy homomorphic-encryption privacy-preserving federated-learning privacy-preserving-machine-learning communication-efficiency poisoning-attacks non-iid-data inference-attacks intelligent-enterprises

Updated Sep 30, 2024
Python

rezafotohi / FedAnilPlusPlus

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FedAnil++ is a Privacy-Preserving and Communication-Efficient Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil++ written in Python.