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Sihun Baek

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2020 – today

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2024
[i3]
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  - journals/corr/abs-2408-01040
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  - https://dblp.org/rec/journals/corr/abs-2408-01040
Seungeun Oh, Sihun Baek, Jihong Park, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix. CoRR abs/2408.01040 (2024)
2022
[c2]
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  - conf/www/OhPVBRBK22
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  - https://dblp.org/rec/conf/www/OhPVBRBK22
Seungeun Oh, Jihong Park, Praneeth Vepakomma, Sihun Baek, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning. WWW 2022: 3347-3357
[i2]
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  - journals/corr/abs-2207-00234
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  - https://dblp.org/rec/journals/corr/abs-2207-00234
Sihun Baek, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning. CoRR abs/2207.00234 (2022)
[i1]
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  - journals/corr/abs-2210-15986
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  - https://dblp.org/rec/journals/corr/abs-2210-15986
Seungeun Oh, Jihong Park, Sihun Baek, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Differentially Private CutMix for Split Learning with Vision Transformer. CoRR abs/2210.15986 (2022)
2020
[c1]
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  - conf/mobicom/SeoKKBK20
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  - https://dblp.org/rec/conf/mobicom/SeoKKBK20
Sejin Seo, Seunghwan Kim, Sujin Kook, Sihun Baek, Seong-Lyun Kim:
Constructing 3-dimensional 5G coverage map for real-time airborne missions. MobiCom 2020: 81:1-81:3

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