Fedcluster: Boosting the convergence of federated learning via cluster-cycling

C Chen, Z Chen, Y Zhou… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
We develop FedCluster-a novel federated learning framework with improved optimization
efficiency, and investigate its theoretical convergence properties. The FedCluster groups the …
被引用次数：61 相关文章
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[PDF][PDF] FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling

C Chen, Z Chen, Y Zhou, B Kailkhura - researchgate.net
We develop FedCluster–a novel federated learning framework with improved optimization
efficiency, and investigate its theoretical convergence properties. The FedCluster groups the …

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling

C Chen, Z Chen, Y Zhou, B Kailkhura - arXiv preprint arXiv:2009.10748, 2020 - arxiv.org
We develop FedCluster--a novel federated learning framework with improved optimization
efficiency, and investigate its theoretical convergence properties. The FedCluster groups the …

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling

C Chen, Z Chen, Y Zhou, B Kailkhura - 2020 IEEE International …, 2020 - computer.org
We develop FedCluster-a novel federated learning framework with improved optimization
efficiency, and investigate its theoretical convergence properties. The FedCluster groups the …

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling

C Chen, Z Chen, Y Zhou, B Kailkhura - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
We develop FedCluster--a novel federated learning framework with improved optimization
efficiency, and investigate its theoretical convergence properties. The FedCluster groups the …