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FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.

H. Wang, Y. Jia, M. Zhang, Q. Hu, H. Ren, P. Sun, Y. Wen, and T. Zhang. WWW, page 2902-2913. ACM, (2024)

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Qinghao Zheng

Jun Hu

Zaijun Hu

Bing Hu

Hu Wang

Other publications of authors with the same name

MCUNeRF: Packing NeRF into an MCU with 1MB Memory.Z. Ye, Q. Hu, T. Zhao, W. Zhou, and J. Cheng. ACM Multimedia, page 9082-9092. ACM, (2023)Shoot to Know What: An Application of Deep Networks on Mobile Devices.J. Wu, Q. Hu, C. Leng, and J. Cheng. AAAI, page 4399-4400. AAAI Press, (2016)A2Q: Aggregation-Aware Quantization for Graph Neural Networks.Z. Zhu, F. Li, Z. Mo, Q. Hu, G. Li, Z. Liu, X. Liang, and J. Cheng. CoRR, (2023)Training Binary Weight Networks via Semi-Binary Decomposition.Q. Hu, G. Li, P. Wang, Y. Zhang, and J. Cheng. ECCV (13), volume 11217 of Lecture Notes in Computer Science, page 657-673. Springer, (2018)Two-Step Quantization for Low-Bit Neural Networks.P. Wang, Q. Hu, Y. Zhang, C. Zhang, Y. Liu, and J. Cheng. CVPR, page 4376-4384. Computer Vision Foundation / IEEE Computer Society, (2018)Generative Zero-Shot Network Quantization.X. He, J. Lu, W. Xu, Q. Hu, P. Wang, and J. Cheng. CVPR Workshops, page 3000-3011. Computer Vision Foundation / IEEE, (2021)FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.H. Wang, Y. Jia, M. Zhang, Q. Hu, H. Ren, P. Sun, Y. Wen, and T. Zhang. WWW, page 2902-2913. ACM, (2024)MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization.Z. Zhu, F. Li, G. Li, Z. Liu, Z. Mo, Q. Hu, X. Liang, and J. Cheng. CoRR, (2023)Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs.Q. Hu, M. Zhang, P. Sun, Y. Wen, and T. Zhang. ASPLOS (2), page 457-472. ACM, (2023)AirFace: Lightweight and Efficient Model for Face RecognitionX. Li, F. Wang, Q. Hu, and C. Leng. (2019)cite arxiv:1907.12256.

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Disambiguation of "Hu, Qinghao"

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FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.

Please choose a person to relate this publication to

Qinghao Zheng

Jun Hu

Zaijun Hu

Bing Hu

Hu Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hu, Qinghao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.

Please choose a person to relate this publication to

Qinghao Zheng

Jun Hu

Zaijun Hu

Bing Hu

Hu Wang

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

FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.