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Ekanut Sotthiwat

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2020 – today

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2024
[j2]
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  dblp key:
  - journals/tbd/ZhangSZL24
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Chi Zhang, Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li:
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning. IEEE Trans. Big Data 10(6): 742-751 (2024)
2023
[c3]
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  - conf/iccv/ZhangZSXLZL23
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Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu:
Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning. ICCV 2023: 5103-5112
2021
[c2]
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  dblp key:
  - conf/ccgrid/SotthiwatZLZ21
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Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li, Chi Zhang:
Partially Encrypted Multi-Party Computation for Federated Learning. CCGRID 2021: 828-835
2020
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  - journals/tcss/XiaoLYCLJPSG20
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Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh:
Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance. IEEE Trans. Comput. Soc. Syst. 7(6): 1409-1422 (2020)

2010 – 2019

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2018
[c1]
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  - conf/icpads/LiXXSGL18
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Zengxiang Li, Zhe Xiao, Quanqing Xu, Ekanut Sotthiwat, Rick Siow Mong Goh, Xueping Liang:
Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance. ICPADS 2018: 1022-1027

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