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Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning.

S. Deng, X. Guan, Z. Sun, S. Zhao, T. Shen, X. Chen, T. Duan, Y. Wang, J. Pan, Y. Wu, L. Zhang, and H. Cui. IEEE Internet Things J., 10 (3): 1946-1960 (February 2023)

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Zhao Zhao

Yanning Zhao

Hertz-level ultra-stable laser and its application to high precision spectroscopyY. Zhao. Uni Erlangen-Nürnberg, (2009)

Xiaojian Zhao

Bingbing Zhao

Gang Zhao

Other publications of authors with the same name

Kakute: A Precise, Unified Information Flow Analysis System for Big-data Security.J. Jiang, S. Zhao, D. Alsayed, Y. Wang, H. Cui, F. Liang, and Z. Gu. ACSAC, page 79-90. ACM, (2017)NASPipe: high performance and reproducible pipeline parallel supernet training via causal synchronous parallelism.S. Zhao, F. Li, X. Chen, T. Shen, L. Chen, S. Wang, N. Zhang, C. Li, and H. Cui. ASPLOS, page 374-387. ACM, (2022)Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning.S. Deng, X. Guan, Z. Sun, S. Zhao, T. Shen, X. Chen, T. Duan, Y. Wang, J. Pan, Y. Wu and 2 other author(s). IEEE Internet Things J., 10 (3): 1946-1960 (February 2023)MVSAS: Semantic-Aware Scheduling for Low Latency and High Precision in Wireless Multi-View Application.X. Guan, Z. Sun, S. Deng, S. Zhao, T. Shen, T. Li, Y. Wang, R. Wang, and H. Cui. ICPADS, page 266-273. IEEE, (2021)Efficient and DoS-resistant Consensus for Permissioned Blockchains.X. Chen, S. Zhao, J. Qi, J. Jiang, H. Song, C. Wang, T. Li, T. Chan, F. Zhang, X. Luo and 3 other author(s). Perform. Evaluation, (2022)XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference.S. Wang, Y. Bai, L. Zhang, P. Zhou, S. Zhao, G. Zhang, S. Wang, R. Chen, H. Xu, and H. Sun. CoRR, (2024)ROG: A High Performance and Robust Distributed Training System for Robotic IoT.X. Guan, Z. Sun, S. Deng, X. Chen, S. Zhao, Z. Zhang, T. Duan, Y. Wang, C. Wu, Y. Cui and 4 other author(s). MICRO, page 336-353. IEEE, (2022)PLOVER: Fast, Multi-core Scalable Virtual Machine Fault-tolerance.C. Wang, X. Chen, W. Jia, B. Li, H. Qiu, S. Zhao, and H. Cui. NSDI, page 483-489. USENIX Association, (2018)HAMS: High Availability for Distributed Machine Learning Service Graphs.S. Zhao, X. Chen, C. Wang, F. Li, Q. Ji, H. Cui, C. Li, and S. Wang. DSN, page 184-196. IEEE, (2020)AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments.J. Wang, Z. Sun, X. Guan, T. Shen, Z. Zhang, T. Duan, D. Huang, S. Zhao, and H. Cui. CoRR, (2024)

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Disambiguation of "Zhao, Shixiong"

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Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning.

Please choose a person to relate this publication to

Zhao Zhao

Yanning Zhao

Xiaojian Zhao

Bingbing Zhao

Gang Zhao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhao, Shixiong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning.

Please choose a person to relate this publication to

Zhao Zhao

Yanning Zhao

Xiaojian Zhao

Bingbing Zhao

Gang Zhao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Coorp: Satisfying Low-Latency and High-Throughput Requirements of Wireless Network for Coordinated Robotic Learning.