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Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning.

, , , , and . BrainLes@MICCAI (2), volume 14092 of Lecture Notes in Computer Science, page 161-172. Springer, (2022)

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Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark., , , , , , , , , and 31 other author(s). CoRR, (2021)HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images., , and . CoRR, (2021)HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images., , and . AAAI, page 1087-1095. AAAI Press, (2022)Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning., , , , and . BrainLes@MICCAI (2), volume 14092 of Lecture Notes in Computer Science, page 161-172. Springer, (2022)IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation., , , and . IEEE Trans. Medical Imaging, 42 (7): 2106-2117 (2023)Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark., , , , , , , , , and 39 other author(s). Medical Image Anal., (May 2023)Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study., , , , , , , , , and 11 other author(s). npj Digit. Medicine, (2021)Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer., , , and . CoRR, (2022)Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer., , , and . WACV, page 361-370. IEEE, (2023)FedBN: Federated Learning on Non-IID Features via Local Batch Normalization., , , , and . ICLR, OpenReview.net, (2021)