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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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Hong Qu

Guoqiong Qu

Jing Qu

Lizhen Qu

Chengchao Qu

Other publications of authors with the same name

Federated Learning for Breast Density Classification: A Real-World Implementation.H. Roth, K. Chang, P. Singh, N. Neumark, W. Li, V. Gupta, S. Gupta, L. Qu, A. Ihsani, B. Bizzo and 33 other author(s). DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 181-191. Springer, (2020)Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection.W. Jiang, W. Ren, J. Tian, L. Qu, Z. Wang, and H. Liu. AAAI, page 2543-2551. AAAI Press, (2024)Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models.S. Tang, J. Dunnmon, L. Qu, K. Saab, T. Baykaner, C. Lee-Messer, and D. Rubin. CHIL, volume 209 of Proceedings of Machine Learning Research, page 50-71. PMLR, (2023)Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract.S. Wang, Y. Cong, H. Zhu, X. Chen, L. Qu, H. Fan, Q. Zhang, and M. Liu. IEEE J. Biomed. Health Informatics, 25 (2): 514-525 (2021)Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation.Y. Shi, J. Ji, X. Zhang, L. Qu, and Y. Liu. EMNLP, page 6617-6630. Association for Computational Linguistics, (2023)MCDNet: An Infrared Small Target Detection Network Using Multi-Criteria Decision and Adaptive Labeling Strategy.T. Ma, Q. Ma, Z. Yang, J. Liang, J. Fu, Y. Dou, Y. Ku, U. Ahmad, and L. Qu. IEEE Trans. Geosci. Remote. Sens., (2024)Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging.L. Qu, N. Balachandar, M. Zhang, and D. Rubin. CoRR, (2021)A hand pose tracking benchmark from stereo matching.J. Zhang, J. Jiao, M. Chen, L. Qu, X. Xu, and Q. Yang. ICIP, page 982-986. IEEE, (2017)Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis.S. Wang, K. Sun, L. Wang, L. Qu, F. Yan, Q. Wang, and D. Shen. IEEE Trans. Neural Networks Learn. Syst., 34 (8): 4990-5001 (August 2023)Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI.L. Qu, S. Wang, P. Yap, and D. Shen. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 786-794. Springer, (2019)

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Disambiguation of "Qu, Liangqiong"

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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

Hong Qu

Guoqiong Qu

Jing Qu

Lizhen Qu

Chengchao Qu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Qu, Liangqiong"

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

Hong Qu

Guoqiong Qu

Jing Qu

Lizhen Qu

Chengchao Qu

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
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FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning.