WEB OF SCIENCE
SCOPUS
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 이성진 | - |
| dc.contributor.author | Daehan Lee | - |
| dc.date.accessioned | 2025-03-04T10:26:59Z | - |
| dc.date.available | 2025-03-04T10:26:59Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/58102 | - |
| dc.identifier.uri | http://dgist.dcollection.net/common/orgView/200000828354 | - |
| dc.description | AI 시스템, 데이터 주변 처리, 멀티모달 모델, 모델 프리징, AI 최적화 | - |
| dc.description.tableofcontents | Ⅰ. Introduction 1 Ⅱ. Background 3 Ⅲ. Motivation 7 Ⅳ. Designs 11 Ⅴ. Experiments 16 Ⅵ. Conclusions 25 |
- |
| dc.format.extent | 29 | - |
| dc.language | eng | - |
| dc.publisher | DGIST | - |
| dc.title | Efficient Multimodal Model Training Techniques Using Storage Servers | - |
| dc.type | Thesis | - |
| dc.identifier.doi | 10.22677/THESIS.200000828354 | - |
| dc.description.degree | Master | - |
| dc.contributor.department | Artificial Intelligence Major | - |
| dc.identifier.bibliographicCitation | Daehan Lee. (2025). Efficient Multimodal Model Training Techniques Using Storage Servers. doi: 10.22677/THESIS.200000828354 | - |
| dc.contributor.coadvisor | Hoonsung Chwa | - |
| dc.date.awarded | 2025-02-01 | - |
| dc.publisher.location | Daegu | - |
| dc.description.database | dCollection | - |
| dc.citation | XT.AM 이23 202502 | - |
| dc.date.accepted | 2025-01-20 | - |
| dc.contributor.alternativeDepartment | 학제학과인공지능전공 | - |
| dc.subject.keyword | AI 시스템, 데이터 주변 처리, 멀티모달 모델, 모델 프리징, AI 최적화 | - |
| dc.contributor.affiliatedAuthor | Daehan Lee | - |
| dc.contributor.affiliatedAuthor | Sungjin Lee | - |
| dc.contributor.affiliatedAuthor | Hoonsung Chwa | - |
| dc.contributor.alternativeName | 이대한 | - |
| dc.contributor.alternativeName | Sungjin Lee | - |
| dc.contributor.alternativeName | 좌훈승 | - |
| dc.rights.embargoReleaseDate | 2030-02-28 | - |
