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Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.

Z. Zhang, Y. Yang, Z. Yao, Y. Yan, J. Gonzalez, K. Ramchandran, and M. Mahoney. IEEE BigData, page 1214-1225. IEEE, (2021)

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Yao Wang University of Stuttgart

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Residual Networks as Nonlinear Systems: Stability Analysis using Linearization.K. Rothauge, Z. Yao, Z. Hu, and M. Mahoney. CoRR, (2019)PyHessian: Neural Networks Through the Lens of the Hessian.Z. Yao, A. Gholami, K. Keutzer, and M. Mahoney. CoRR, (2019)Inefficiency of K-FAC for Large Batch Size Training.L. Ma, G. Montague, J. Ye, Z. Yao, A. Gholami, K. Keutzer, and M. Mahoney. CoRR, (2019)HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks.Z. Dong, Z. Yao, Y. Cai, D. Arfeen, A. Gholami, M. Mahoney, and K. Keutzer. CoRR, (2019)Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.Z. Zhang, Y. Yang, Z. Yao, Y. Yan, J. Gonzalez, K. Ramchandran, and M. Mahoney. IEEE BigData, page 1214-1225. IEEE, (2021)Trust Region Based Adversarial Attack on Neural Networks.Z. Yao, A. Gholami, P. Xu, K. Keutzer, and M. Mahoney. CoRR, (2018)Parameter Re-Initialization through Cyclical Batch Size Schedules.N. Mu, Z. Yao, A. Gholami, K. Keutzer, and M. Mahoney. CoRR, (2018)ANODEV2: A Coupled Neural ODE Evolution Framework.T. Zhang, Z. Yao, A. Gholami, K. Keutzer, J. Gonzalez, G. Biros, and M. Mahoney. CoRR, (2019)Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling.S. Liang, F. Yang, T. Wen, Z. Yao, Q. Huang, and C. Ye. BMC Medical Imaging, 17 (1): 57:1-57:12 (2017)ANODEV2: A Coupled Neural ODE Framework.T. Zhang, Z. Yao, A. Gholami, J. Gonzalez, K. Keutzer, M. Mahoney, and G. Biros. NeurIPS, page 5152-5162. (2019)

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Disambiguation of "Yao, Zhewei"

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Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.

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Yao Wang University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Yao, Zhewei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.

Please choose a person to relate this publication to

Yao Wang University of Stuttgart

Other publications of authors with the same name

Disambiguation

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URL
DOI
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APA
Chicago
DIN 1505
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Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.