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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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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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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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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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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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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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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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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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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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SDA-FC: Bridging federated clustering and deep generative model

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

2024

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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 Under Importance Sampling

IEEE transactions on signal processing, 2022, Vol.70, p.5381-5396

2022

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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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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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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 With Non-IID Data: A Survey

IEEE internet of things journal, 2024-06, Vol.11 (11), p.19188-19209

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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Fed-mRMR: A lossless federated feature selection method

Information sciences, 2024-05, Vol.669, p.120609, Article 120609

2024

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Federated Learning With Taskonomy for Non-IID Data

IEEE transaction on neural networks and learning systems, 2023-11, Vol.34 (11), p.8719-8730

2023

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Robustness and generalization

Machine learning, 2012-03, Vol.86 (3), p.391-423

2012

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Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning

Information sciences, 2024-05, Vol.667, p.120475, Article 120475

2024

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Joint graph entropy knowledge distillation for point cloud classification and robustness against corruptions

Information sciences, 2023-11, Vol.648, p.119542, Article 119542

2023

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Collaborative analysis for drug discovery by federated learning on non-IID data

Methods (San Diego, Calif.), 2023-11, Vol.219, p.1-7

2023

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FedBnR: Mitigating federated learning Non-IID problem by breaking the skewed task and reconstructing representation

Future generation computer systems, 2024-04, Vol.153, p.1-11

2024

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Doubly contrastive representation learning for federated image recognition

Pattern recognition, 2023-07, Vol.139, p.109507, Article 109507

2023

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Federated learning on non-IID data: A survey

Robust federated learning under statistical heterogeneity via Hessian spectral decomposition

Towards Personalized Federated Learning

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

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

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

FedProc: Prototypical contrastive federated learning on non-IID data

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

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

SDA-FC: Bridging federated clustering and deep generative model

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

Federated Learning Under Importance Sampling

Federated Learning With Non-IID Data in Wireless Networks

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

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

Federated Learning With Non-IID Data: A Survey

Adaptive Federated Learning on Non-IID Data With Resource Constraint

Fed-mRMR: A lossless federated feature selection method

Federated Learning With Taskonomy for Non-IID Data

Robustness and generalization

Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning

Joint graph entropy knowledge distillation for point cloud classification and robustness against corruptions

Collaborative analysis for drug discovery by federated learning on non-IID data

FedBnR: Mitigating federated learning Non-IID problem by breaking the skewed task and reconstructing representation

Doubly contrastive representation learning for federated image recognition

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