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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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Differentially Private Auction Design for Federated Learning with non-IID Data

IEEE transactions on services computing, 2024-09, Vol.17 (5), p.1-12

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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Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization

IEEE transactions on evolutionary computation, 2024-07, p.1-1

2024

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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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AP2FL: Auditable Privacy-Preserving Federated Learning Framework for Electronics in Healthcare

IEEE transactions on consumer electronics, 2024-02, Vol.70 (1), p.2527-2535

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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Guard-FL: An UMAP-Assisted Robust Aggregation for Federated Learning

IEEE internet of things journal, 2024-08, Vol.11 (16), p.27557-27570

2024

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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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A two-phase half-async method for heterogeneity-aware federated learning

Neurocomputing (Amsterdam), 2022-05, Vol.485, p.134-154

2022

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Multi-objective federated learning: Balancing global performance and individual fairness

Future generation computer systems, 2025-01, Vol.162, p.107468, Article 107468

2025

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IntegrateCF: Integrating explicit and implicit feedback based on deep learning collaborative filtering algorithm

Expert systems with applications, 2022-11, Vol.207, p.117933, Article 117933

2022

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FedSiM: a similarity metric federal learning mechanism based on stimulus response method with Non-IID data

Measurement science & technology, 2023-12, Vol.34 (12), p.125045

2023

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FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation

Expert systems with applications, 2024-03, Vol.237, p.121463, Article 121463

2024

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FedCD: A Hybrid Federated Learning Framework for Efficient Training With IoT Devices

IEEE internet of things journal, 2024-06, Vol.11 (11), p.20040-20050

2024

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Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization

IEEE signal processing letters, 2024, Vol.31, p.2595-2599

2024

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FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples

Information fusion, 2023-10, Vol.98, p.101836, Article 101836

2023

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FedGA: A greedy approach to enhance federated learning with Non-IID data

Knowledge-based systems, 2024-10, Vol.301, p.112201, Article 112201

2024

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A collaborative ensemble construction method for federated random forest

Expert systems with applications, 2024-12, Vol.255, p.124742, Article 124742

2024

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Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization

IEEE transactions on knowledge and data engineering, 2024-09, Vol.36 (9), p.4567-4581

2024

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Federated Learning With Non-IID Data: A Survey

Differentially Private Auction Design for Federated Learning with non-IID Data

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

Distilling Ensemble Surrogates for Federated Data-Driven Many-Task Optimization

Robustness and generalization

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

AP2FL: Auditable Privacy-Preserving Federated Learning Framework for Electronics in Healthcare

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

Guard-FL: An UMAP-Assisted Robust Aggregation for Federated Learning

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

A two-phase half-async method for heterogeneity-aware federated learning

Multi-objective federated learning: Balancing global performance and individual fairness

IntegrateCF: Integrating explicit and implicit feedback based on deep learning collaborative filtering algorithm

FedSiM: a similarity metric federal learning mechanism based on stimulus response method with Non-IID data

FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation

FedCD: A Hybrid Federated Learning Framework for Efficient Training With IoT Devices

Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization

FL-Enhance: A federated learning framework for balancing non-IID data with augmented and shared compressed samples

FedGA: A greedy approach to enhance federated learning with Non-IID data

A collaborative ensemble construction method for federated random forest

Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization

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