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DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.

W. Wang, T. Wang, L. Wang, N. Luo, P. Zhou, D. Song, and R. Jia. CoRR, (2021)

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Tzu-Lun Wang

Angelika Lun

Lun Du

Andreas Lun

Other publications of authors with the same name

Creation of ESL power models for communication architectures using automatic calibration.S. Schürmans, D. Zhang, D. Auras, R. Leupers, G. Ascheid, X. Chen, and L. Wang. DAC, page 58:1-58:58. ACM, (2013)Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing.J. Liu, H. Xu, L. Wang, Y. Xu, C. Qian, J. Huang, and H. Huang. IEEE Trans. Mob. Comput., 22 (2): 674-690 (2023)Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection.Y. Xu, L. Wang, H. Xu, J. Liu, Z. Wang, and L. Huang. IEEE Trans. Mob. Comput., 23 (4): 2813-2831 (April 2024)Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning.Z. Jiang, Y. Xu, H. Xu, L. Wang, C. Qiao, and L. Huang. IEEE Trans. Parallel Distributed Syst., 34 (10): 2827-2842 (October 2023)Private Distributed Mean Estimation.L. Wang, and R. Jia. CoRR, (2020)TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems.W. Guo, L. Wang, X. Xing, M. Du, and D. Song. CoRR, (2019)Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy.J. Near, D. Darais, C. Abuah, T. Stevens, P. Gaddamadugu, L. Wang, N. Somani, M. Zhang, N. Sharma, A. Shan and 1 other author(s). CoRR, (2019)Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning.Y. Liao, Y. Xu, H. Xu, L. Wang, and C. Qian. CoRR, (2022)Decentralized Machine Learning Through Experience-Driven Method in Edge Networks.H. Xu, M. Chen, Z. Meng, Y. Xu, L. Wang, and C. Qiao. IEEE J. Sel. Areas Commun., 40 (2): 515-531 (2022)Byzantine-Robust Federated Learning with Optimal Statistical Rates.B. Zhu, L. Wang, Q. Pang, S. Wang, J. Jiao, D. Song, and M. Jordan. AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3151-3178. PMLR, (2023)

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Disambiguation of "Wang, Lun"

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DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.

Please choose a person to relate this publication to

Tzu-Lun Wang

Angelika Lun

Lun Du

Andreas Lun

Andreas Lun

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Lun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.

Please choose a person to relate this publication to

Tzu-Lun Wang

Angelika Lun

Lun Du

Andreas Lun

Andreas Lun

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.