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FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning.

P. Xu, Z. Wang, J. Mei, L. Qu, A. Yuille, C. Xie, and Y. Zhou. CoRR, (2023)

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Zhou Zhou

Zhou Zhao

Yayun Zhou

Yaming Zhou

Other publications of authors with the same name

Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach.Y. Zhou, L. Xie, W. Shen, E. Fishman, and A. Yuille. CoRR, (2016)Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.Y. Wang, Y. Zhou, W. Shen, S. Park, E. Fishman, and A. Yuille. Medical Image Anal., (2019)2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans.Y. Zhou, Q. Yu, Y. Wang, L. Xie, W. Shen, E. Fishman, and A. Yuille. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples.Y. Li, Z. Zhu, Y. Zhou, Y. Xia, W. Shen, E. Fishman, and A. Yuille. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction.Y. Wang, P. Tang, Y. Zhou, W. Shen, E. Fishman, and A. Yuille. CoRR, (2021)Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.R. Yan, L. Qu, Q. Wei, S. Huang, L. Shen, D. Rubin, L. Xing, and Y. Zhou. CoRR, (2022)TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.J. Chen, Y. Lu, Q. Yu, X. Luo, E. Adeli, Y. Wang, L. Lu, A. Yuille, and Y. Zhou. CoRR, (2021)Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples.Y. Li, Z. Zhu, Y. Zhou, Y. Xia, W. Shen, E. Fishman, and A. Yuille. CoRR, (2020)Self-supervised deep learning of gene-gene interactions for improved gene expression recovery.Q. Wei, M. Islam, Y. Zhou, and L. Xing. Briefings Bioinform., (January 2024)CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning.Y. Shen, Y. Zhou, and L. Yu. CVPR, page 10031-10040. IEEE, (2022)

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Disambiguation of "Zhou, Yuyin"

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FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning.

Please choose a person to relate this publication to

Zhou Zhou

Zhou Zhou

Zhou Zhao

Yayun Zhou

Yaming Zhou

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhou, Yuyin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning.

Please choose a person to relate this publication to

Zhou Zhou

Zhou Zhou

Zhou Zhao

Yayun Zhou

Yaming Zhou

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning.