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Distributed Learning in Non-Convex World: Theory, Algorithms, and Applications
Distributed Learning in Non-Convex World: Theory, Algorithms, and Applications
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798534692075
- DDC
- 621.3
- 저자명
- Sun, Haoran.
- 서명/저자
- Distributed Learning in Non-Convex World: Theory, Algorithms, and Applications
- 발행사항
- [Sl] : University of Minnesota, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 212 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Hong, Mingyi.
- 학위논문주기
- Thesis (Ph.D.)--University of Minnesota, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Electrical engineering
- 일반주제명
- Artificial intelligence
- 일반주제명
- Information science
- 일반주제명
- Wireless communications
- 일반주제명
- Wireless networks
- 일반주제명
- Motivation
- 일반주제명
- Accuracy
- 일반주제명
- Deep learning
- 일반주제명
- Datasets
- 일반주제명
- Regression analysis
- 일반주제명
- Investigations
- 일반주제명
- Awards & honors
- 일반주제명
- Optimization techniques
- 일반주제명
- Signal processing
- 일반주제명
- Neural networks
- 일반주제명
- Convex analysis
- 일반주제명
- Algorithms
- 키워드
- Machine learning
- 기타저자
- University of Minnesota Electrical Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798534692075
■035 ▼a(MiAaPQ)AAI28492944
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aSun, Haoran.
■24510▼aDistributed Learning in Non-Convex World: Theory, Algorithms, and Applications
■260 ▼a[Sl]▼bUniversity of Minnesota▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a212 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Hong, Mingyi.
■5021 ▼aThesis (Ph.D.)--University of Minnesota, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0130.
■650 4▼aElectrical engineering
■650 4▼aArtificial intelligence
■650 4▼aInformation science
■650 4▼aWireless communications
■650 4▼aWireless networks
■650 4▼aMotivation
■650 4▼aAccuracy
■650 4▼aDeep learning
■650 4▼aDatasets
■650 4▼aRegression analysis
■650 4▼aInvestigations
■650 4▼aAwards & honors
■650 4▼aOptimization techniques
■650 4▼aSignal processing
■650 4▼aNeural networks
■650 4▼aConvex analysis
■650 4▼aAlgorithms
■653 ▼aDecentralized optimization
■653 ▼aDistributed optimization
■653 ▼aMachine learning
■653 ▼aNon-convex optimization
■690 ▼a0544
■690 ▼a0800
■690 ▼a0723
■71020▼aUniversity of Minnesota▼bElectrical Engineering.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0130
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051865▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
