FedSoup: improving generalization and personalization in federated learning via selective model interpolation

M Chen, M Jiang, Q Dou, Z Wang, X Li - International Conference on …, 2023 - Springer
Cross-silo federated learning (FL) enables the development of machine learning models on
datasets distributed across data centers such as hospitals and clinical research laboratories …
被引用次数：6 相关文章

FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation

M Chen, M Jiang, Q Dou, Z Wang, X Li - arXiv preprint arXiv:2307.10507, 2023 - arxiv.org
Cross-silo federated learning (FL) enables the development of machine learning models on
datasets distributed across data centers such as hospitals and clinical research laboratories …

FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation

M Chen, M Jiang, Q Dou, Z Wang, X Li - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Cross-silo federated learning (FL) enables the development of machine learning models on
datasets distributed across data centers such as hospitals and clinical research laboratories …

FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation

M Chen, M Jiang, Q Dou, Z Wang, X Li - International Conference on …, 2023 - dl.acm.org
Cross-silo federated learning (FL) enables the development of machine learning models on
datasets distributed across data centers such as hospitals and clinical research laboratories …