Proceedings - International Symposium on Biomedical Imaging 
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This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.Fedsld: federated learning with shared label distribution for medical image classification
Proc IEEE Int Symp Biomed Imaging. 2022 Mar;2022:10.1109/isbi52829.2022.9761404. doi: 10.1109/isbi52829.2022.9761404. Epub 2022 Apr 26.ABSTRACTFederated learning (FL) enables collaboratively training a joint model for multiple medical centers, while keeping the data decentralized due to privacy concerns. However, federated optimizations often suffer from the heterogeneity of the data distribution across medical centers. In this work, we propose Federated Learning with Shared Label Distribution (FedSLD) for classification tasks, a method that adjusts the contribution of each data sample to the local objective during optimiz...
Source: Proceedings - International Symposium on Biomedical Imaging - October 11, 2023 Category: Radiology Authors: Jun Luo Shandong Wu Source Type: research
