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An efficient split learning framework for recurrent neural network in mobile edge environment.

W. Zhou, Z. Qu, Y. Zhao, B. Tang, and B. Ye. RACS, page 131-138. ACM, (2022)

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Zhihao Pan

Zhihao Chen

Zhihao Wu

Zhihao Lao

Zhihao Xu

Other publications of authors with the same name

Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks.Z. Qu, S. Guo, H. Wang, B. Ye, Y. Wang, A. Zomaya, and B. Tang. IEEE Trans. Mob. Comput., 21 (12): 4502-4516 (2022)Scheduling coflows of multi-stage jobs under network resource constraints.Y. Zeng, B. Ye, B. Tang, S. Guo, and Z. Qu. Comput. Networks, (2021)FedALP: An Adaptive Layer-Based Approach for Improved Personalized Federated Learning.Z. Xie, Y. Liu, Z. Qu, B. Tang, and W. Zhao. WASA (2), volume 13472 of Lecture Notes in Computer Science, page 80-92. Springer, (2022)Adaptive Federated Learning on Non-IID Data With Resource Constraint.J. Zhang, S. Guo, Z. Qu, D. Zeng, Y. Zhan, Q. Liu, and R. Akerkar. IEEE Trans. Computers, 71 (7): 1655-1667 (2022)SafeDRL: Dynamic Microservice Provisioning With Reliability and Latency Guarantees in Edge Environments.Y. Zeng, Z. Qu, S. Guo, B. Ye, J. Zhang, J. Li, and B. Tang. IEEE Trans. Computers, 73 (1): 235-248 (January 2024)From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.F. Wu, S. Guo, H. Wang, H. Zhang, Z. Qu, J. Zhang, and Z. Liu. IEEE Trans. Parallel Distributed Syst., 34 (5): 1548-1559 (May 2023)Incentive Mechanism Design for Federated Learning: Challenges and Opportunities.Y. Zhan, P. Li, S. Guo, and Z. Qu. IEEE Netw., 35 (4): 310-317 (2021)FedDGIC: Reliable and Efficient Asynchronous Federated Learning with Gradient Compensation.Z. Xie, J. Jiang, R. Chen, Z. Qu, and H. Liu. ICPADS, page 98-105. IEEE, (2022)Joint Controller Placement and Flow Assignment in Software-Defined Edge Networks.S. Hua, B. Ye, Y. Zeng, Z. Qu, and B. Tang. ICA3PP (5), volume 14491 of Lecture Notes in Computer Science, page 21-38. Springer, (2023)Multi-Path Routing Oriented Flow Statistics Collection in Software Defined Networks.J. Zhang, S. Guo, D. Zeng, and Z. Qu. ICPADS, page 101-108. IEEE, (2019)

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Disambiguation of "Qu, Zhihao"

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An efficient split learning framework for recurrent neural network in mobile edge environment.

Please choose a person to relate this publication to

Zhihao Pan

Zhihao Chen

Zhihao Wu

Zhihao Lao

Zhihao Xu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Qu, Zhihao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An efficient split learning framework for recurrent neural network in mobile edge environment.

Please choose a person to relate this publication to

Zhihao Pan

Zhihao Chen

Zhihao Wu

Zhihao Lao

Zhihao Xu

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
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An efficient split learning framework for recurrent neural network in mobile edge environment.