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Federated learning on non-IID data: A survey

Neurocomputing (Amsterdam), 2021-11, Vol.465, p.371-390

2021

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Towards Personalized Federated Learning

IEEE transaction on neural networks and learning systems, 2023-12, Vol.34 (12), p.9587-9603

2023

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Robust federated learning under statistical heterogeneity via Hessian spectral decomposition

Pattern recognition, 2023-09, Vol.141, p.109635, Article 109635

2023

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Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records

Journal of biomedical informatics, 2019-11, Vol.99, p.103291-103291, Article 103291

2019

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SDA-FC: Bridging federated clustering and deep generative model

Information sciences, 2024-10, Vol.681, p.121203, Article 121203

2024

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A state-of-the-art survey on solving non-IID data in Federated Learning

Future generation computer systems, 2022-10, Vol.135, p.244-258

2022

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Visual Classification and Detection of Power Inspection Images Based on Federated Learning

IEEE transactions on industry applications, 2024-07, Vol.60 (4), p.5460-5469

2024

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Data-free knowledge distillation via generator-free data generation for Non-IID federated learning

Neural networks, 2024-11, Vol.179, p.106627, Article 106627

2024

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Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

Information fusion, 2022-12, Vol.88, p.263-280

2022

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FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing

IEEE journal on selected areas in communications, 2021-12, Vol.39 (12), p.3654-3672

2021

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Data independent warmup scheme for non-IID federated learning

Information sciences, 2023-04, Vol.623, p.342-360

2023

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Ada‐FFL: Adaptive computing fairness federated learning

CAAI Transactions on Intelligence Technology, 2024-06, Vol.9 (3), p.573-584

2024

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Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data

Future generation computer systems, 2022-03, Vol.128, p.406-419

2022

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Enhancing federated learning robustness in adversarial environment through clustering Non-IID features

Computers & security, 2023-09, Vol.132, p.103319, Article 103319

2023

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FedProc: Prototypical contrastive federated learning on non-IID data

Future generation computer systems, 2023-06, Vol.143, p.93-104

2023

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Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning

Future generation computer systems, 2024-11, Vol.160, p.171-184

2024

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Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity

IEEE transactions on parallel and distributed systems, 2021-02, Vol.32 (2), p.394-410

2021

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Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data

IEEE transactions on wireless communications, 2022-10, Vol.21 (10), p.7852-7866

2022

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FedPT-V2G: Security enhanced federated transformer learning for real-time V2G dispatch with non-IID data

Applied energy, 2024-03, Vol.358, p.122626, Article 122626

2024

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Adaptive Federated Learning on Non-IID Data With Resource Constraint

IEEE transactions on computers, 2022-07, Vol.71 (7), p.1655-1667

2022

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FedSA: A staleness-aware asynchronous Federated Learning algorithm with non-IID data

Future generation computer systems, 2021-07, Vol.120, p.1-12

2021

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Federated Learning With Non-IID Data in Wireless Networks

IEEE transactions on wireless communications, 2022-03, Vol.21 (3), p.1927-1942

2022

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FedMCSA: Personalized federated learning via model components self-attention

Neurocomputing (Amsterdam), 2023-12, Vol.560, p.126831, Article 126831

2023

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C-RSA: Byzantine-robust and communication-efficient distributed learning in the non-convex and non-IID regime

Signal processing, 2023-12, Vol.213, p.109222, Article 109222

2023

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Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities

IEEE transactions on medical imaging, 2024-08, Vol.PP, p.1-1

2024

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Federated learning on non-IID data: A survey

Towards Personalized Federated Learning

Robust federated learning under statistical heterogeneity via Hessian spectral decomposition

Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records

SDA-FC: Bridging federated clustering and deep generative model

A state-of-the-art survey on solving non-IID data in Federated Learning

Visual Classification and Detection of Power Inspection Images Based on Federated Learning

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning

Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing

Data independent warmup scheme for non-IID federated learning

Ada‐FFL: Adaptive computing fairness federated learning

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data

Enhancing federated learning robustness in adversarial environment through clustering Non-IID features

FedProc: Prototypical contrastive federated learning on non-IID data

Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning

Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity

Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data

FedPT-V2G: Security enhanced federated transformer learning for real-time V2G dispatch with non-IID data

Adaptive Federated Learning on Non-IID Data With Resource Constraint

FedSA: A staleness-aware asynchronous Federated Learning algorithm with non-IID data

Federated Learning With Non-IID Data in Wireless Networks

FedMCSA: Personalized federated learning via model components self-attention

C-RSA: Byzantine-robust and communication-efficient distributed learning in the non-convex and non-IID regime

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities

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