FedCD: Improving Performance in non-IID Federated Learning
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Abstract (arXiv)
Federated learning has been widely applied to enable decentralized devices, which each have their own local data, to learn a shared model. However, learning from real-world data can be challenging, as it is rarely identically and independently distributed (IID) across edge devices (a key assumption for current high-performing and low-bandwidth algorithms). We present a novel approach, FedCD, which clones and deletes models to dynamically group devices with similar data. Experiments on the CIFAR-10 dataset show that FedCD achieves higher accuracy and faster convergence compared to a FedAvg baseline on non-IID data while incurring minimal computation, communication, and storage overheads.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Jun 2020.
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Citing papers per year: 2021: 4; 2022: 2; 2023: 4; 2024: 1; 2025: 1; 2026: 1.
13 papers.
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- 2022Federated Learning with GAN-based Data Synthesis for Non-IID Clientscited by 25
- 2023Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problemscited by 15
- 2023Feature Matching Data Synthesis for Non-IID Federated Learningcited by 13
- 2021Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysiscited by 10
- 2021Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learningcited by 6
- 2021TinyFedTL: Federated Transfer Learning on Tiny Devicescited by 6
- 2023Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detectioncited by 4
- 2023FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizercited by 2
- 2024Personalized federated learning based on feature fusioncited by 2
- 2021Data privacy protection in microscopic image analysis for material data miningcited by 1
- 2022Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Datacited by 1
- 2025CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classificationcited by 0
1 more
- 2026Benchmark Evaluation of Federated Learning on Multi-organ Images9 Jul 2026
- 2025CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification20 Oct 2025
- 2024Personalized federated learning based on feature fusion24 Jun 2024
- 2023Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection26 Oct 2023
- 2023Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems20 Sep 2023
- 2023Feature Matching Data Synthesis for Non-IID Federated Learning9 Aug 2023
- 2023FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer2 May 2023
- 2022Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data15 Jul 2022
- 2022Federated Learning with GAN-based Data Synthesis for Non-IID Clients11 Jun 2022
- 2021Data privacy protection in microscopic image analysis for material data mining9 Nov 2021
- 2021Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis14 Oct 2021
- 2021TinyFedTL: Federated Transfer Learning on Tiny Devices3 Oct 2021
1 more
- 2022Federated Learning with GAN-based Data Synthesis for Non-IID Clientscited by 25
- 2023Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problemscited by 15
- 2023Feature Matching Data Synthesis for Non-IID Federated Learningcited by 13
- 2021Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysiscited by 10
- 2021Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learningcited by 6
- 2021TinyFedTL: Federated Transfer Learning on Tiny Devicescited by 6
- 2023Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detectioncited by 4
- 2023FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizercited by 2
- 2024Personalized federated learning based on feature fusioncited by 2
- 2021Data privacy protection in microscopic image analysis for material data miningcited by 1
- 2022Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Datacited by 1
- 2025CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classificationcited by 0
12 most cited of 13 All 13 (JSON)
- 2026Benchmark Evaluation of Federated Learning on Multi-organ Images9 Jul 2026
- 2025CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification20 Oct 2025
- 2024Personalized federated learning based on feature fusion24 Jun 2024
- 2023Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection26 Oct 2023
- 2023Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems20 Sep 2023
- 2023Feature Matching Data Synthesis for Non-IID Federated Learning9 Aug 2023
- 2023FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer2 May 2023
- 2022Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data15 Jul 2022
- 2022Federated Learning with GAN-based Data Synthesis for Non-IID Clients11 Jun 2022
- 2021Data privacy protection in microscopic image analysis for material data mining9 Nov 2021
- 2021Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis14 Oct 2021
- 2021TinyFedTL: Federated Transfer Learning on Tiny Devices3 Oct 2021
12 newest of 13 All 13 (JSON)