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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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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shuai Zhang University of Stuttgart

Guanhua Zhang University of Stuttgart

Dr. -Ing. Jing Zhang University of Stuttgart

Jixing Zhang University of Stuttgart

Dr. Xi Zhang University of Stuttgart

Other publications of authors with the same name

Orthogonal Linear Transform for Memoryless Nonlinear Communication Systems.S. Cai, S. Yao, K. Kang, Z. Zhang, and H. Qian. IEICE Transactions, 98-A (5): 1136-1139 (2015)Deep Reinforcement Learning-Empowered Beamforming Design for IRS-Assisted MISO Interference Channels.J. Zhang, H. Zhang, Z. Zhang, H. Dai, W. Wu, and B. Wang. WCSP, page 1-5. IEEE, (2021)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)Proactive Caching for Vehicular Multi-View 3D Video Streaming via Deep Reinforcement Learning.Z. Zhang, Y. Yang, M. Hua, C. Li, Y. Huang, and L. Yang. IEEE Trans. Wireless Communications, 18 (5): 2693-2706 (2019)A new approach to fully automatic mesh generation.W. Min, Z. Tang, Z. Zhang, Y. Zhou, and M. Wang. J. Comput. Sci. Technol., 10 (6): 491-508 (1995)Placement Delivery Array Design via Attention-Based Deep Neural Network.Z. Zhang, M. Hua, C. Li, Y. Huang, and L. Yang. CoRR, (2018)Beyond Supervised Power Control in Massive MIMO Network: Simple Deep Neural Network Solutions.Z. Zhang, M. Hua, C. Li, Y. Huang, and L. Yang. IEEE Trans. Veh. Technol., 71 (4): 3964-3979 (2022)Cache-Enabled Dynamic Rate Allocation via Deep Self-Transfer Reinforcement Learning.Z. Zhang, Y. Zheng, M. Hua, Y. Huang, and L. Yang. CoRR, (2018)Energy-efficient optimisation for UAV-aided wireless sensor networks.M. Hua, Y. Wang, Z. Zhang, C. Li, Y. Huang, and L. Yang. IET Communications, 13 (8): 972-980 (2019)Reducing Adversarial Examples Through Boundary Methods.X. Hu, Z. Zhang, Z. Liu, Z. Han, and L. Yang. CICAI (2), volume 13070 of Lecture Notes in Computer Science, page 3-15. Springer, (2021)

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Disambiguation of "Zhang, Zhengming"

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

Please choose a person to relate this publication to

Shuai Zhang University of Stuttgart

Guanhua Zhang University of Stuttgart

Dr. -Ing. Jing Zhang University of Stuttgart

Jixing Zhang University of Stuttgart

Dr. Xi Zhang University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Zhang, Zhengming"

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

Shuai Zhang University of Stuttgart

Guanhua Zhang University of Stuttgart

Dr. -Ing. Jing Zhang University of Stuttgart

Jixing Zhang University of Stuttgart

Dr. Xi Zhang University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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