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Distributed Learning in Non-Convex World: Theory, Algorithms, and Applications
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Distributed Learning in Non-Convex World: Theory, Algorithms, and Applications. |
| 개인저자 | Sun, Haoran. |
| 단체저자명 | University of Minnesota. Electrical Engineering. |
| 발행사항 | [S.l.]: University of Minnesota., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 212 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-02B. Dissertation Abstract International |
| ISBN | 9798534692075 |
| 학위논문주기 | Thesis (Ph.D.)--University of Minnesota, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Advisor: Hong, Mingyi. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Electrical engineering. Artificial intelligence. Information science. Wireless communications. Wireless networks. Motivation. Accuracy. Deep learning. Datasets. Regression analysis. Investigations. Awards & honors. Optimization techniques. Signal processing. Neural networks. Convex analysis. Algorithms. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
