Výsledky vyhledávání - "Dong Kyun Nam"

Enhancing Differential Privacy for Federated Learning at Scale

Autor: Dong-Kyun Nam, Ji-hoon Park, Baek Chunghun, Sung Wook Kim

Publikováno v: IEEE Access, Vol 9, Pp 148090-148103 (2021)

Federated learning (FL) is an emerging technique that trains machine learning models across multiple de-centralized systems. It enables local devices to collaboratively learn a model by aggregating locally computed updates via a server. Privacy is a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c92b3aa4a502634598af1c28c8cfba25
https://ieeexplore.ieee.org/document/9592806/

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Evaluation of Compressive Strengths of Tubular Steel Members According to Corrosion Damage and Shape

Autor: Jin-Hee Ahn, Won Hong Lee, Dong Kyun Nam, In-Tae Kim, Jungwon Huh

Publikováno v: Journal of Korean Society of Steel Construction. 28:213-222

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95632b8ec2d9c41b38c4c22cb2a0fc5b
https://doi.org/10.7781/kjoss.2016.28.4.213

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Effects of$hboxH_2$Annealing and Polysilicon Emitter Structure on$hboxH_FE$of n–p–n Bipolar Junction Transistors

Autor: Sung-ryoul Bae, Tae-Jin Kim, Dae-Hyung Cho, Dong-Kyun Nam, Kye-Won Maeng

Publikováno v: IEEE Transactions on Semiconductor Manufacturing. 18:649-654

This paper presents the effects of H/sub 2/ annealing and polysilicon emitter structures on H/sub FE/ characteristics of n-p-n bipolar junction transistors. The increase of the number of H/sub 2/ annealing steps results in the device performance (H/s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ecd8e3b7cc880960ce6ee12239399ff9
https://doi.org/10.1109/tsm.2005.858507

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