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ORCIDShuo Liu 0011
Person information
- affiliation: Georgetown University, Washington, D.C., USA
Other persons with the same name
- Shuo Liu — disambiguation page
- Shuo Liu 0001 — Florida International University, Department of Electrical and Computer Engineering, Miami, FL, USA
- Shuo Liu 0002
![[0000-0002-3546-4070]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3546-4070")
— Huawei Technologies Co., Ltd, Network Technology Laboratory, Shenzhen, China (and 1 more) - Shuo Liu 0003 — The Fourth Military Medical University, School of Biomedical Engineering, Xi'an, China
- Shuo Liu 0004 — Beijing Institute of Technology, School of Information and Electronics, Key Laboratory of Electronic and Information Technology in Satellite Navigation, China
- Shuo Liu 0005 — Ministry of Public Security, Institute of Forensic Science, Beijing, China
- Shuo Liu 0006 — University of California, Merced, USA
- Shuo Liu 0007 — University of Zurich, Department of Economics, Switzerland
- Shuo Liu 0008 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Shuo Liu 0009 — University of British Columbia, School of Engineering, Kelowna, Canada (and 1 more)
- Shuo Liu 0010 — University of Alberta, Edmonton, Canada
- Shuo Liu 0012 — University of Augsburg, Chair of Embedded Intelligence for Health Care and Wellbeing, Augsburg, Germany
- Shuo Liu 0013 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (and 1 more)
- Shuo Liu 0014 — North China University of Technology, College of Electrical and Control Engineering, Beijing, China (and 2 more)
- Shuo Liu 0015 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China
- Shuo Liu 0016 — Northeastern University, College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industriesm Shenyang, China
- Shuo Liu 0017 — East China Normal University, Shanghai, China
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Conference and Workshop Papers
- 2023
[c5]Shuo Liu, Nirupam Gupta, Nitin H. Vaidya:
Impact of Redundancy on Resilience in Distributed Optimization and Learning. ICDCN 2023: 80-89- 2021
- [c4]Nirupam Gupta, Shuo Liu, Nitin H. Vaidya:
Byzantine Fault-Tolerant Distributed Machine Learning with Norm-Based Comparative Gradient Elimination. DSN Workshops 2021: 175-181 - [c3]Shuo Liu, Nirupam Gupta, Nitin H. Vaidya:
Approximate Byzantine Fault-Tolerance in Distributed Optimization. PODC 2021: 379-389 - [c2]Shuo Liu, Nirupam Gupta, Nitin H. Vaidya:
Redundancy in cost functions for Byzantine fault-tolerant federated learning. ResilientFL 2021: 4-6 - 2020
- [c1]Shuo Liu, Lisa Singh, Kevin Tian:
Information Exposure From Relational Background Knowledge on Social Media. DSAA 2020: 282-291
Informal and Other Publications
- 2022
- [i5]Shuo Liu, Nirupam Gupta, Nitin H. Vaidya:
Impact of Redundancy on Resilience in Distributed Optimization and Learning. CoRR abs/2211.08622 (2022) - 2021
- [i4]Shuo Liu, Nirupam Gupta, Nitin H. Vaidya:
Approximate Byzantine Fault-Tolerance in Distributed Optimization. CoRR abs/2101.09337 (2021) - [i3]Shuo Liu, Nirupam Gupta, Nitin H. Vaidya:
Asynchronous Distributed Optimization with Redundancy in Cost Functions. CoRR abs/2106.03998 (2021) - [i2]Shuo Liu, Nirupam Gupta, Nitin H. Vaidya:
Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning. CoRR abs/2110.10858 (2021) - 2020
- [i1]Nirupam Gupta, Shuo Liu, Nitin H. Vaidya:
Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE). CoRR abs/2008.04699 (2020)
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