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From Enormous Structured Models to On-Device Federated Learning: Robustness, Heterogeneity and Optimization.
From Enormous Structured Models to On-Device Federated Learning: Robustness, Heterogeneity and Optimization.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016619714
- International Standard Book Number
- 9798351441474
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Pillutla, Krishna.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of Washington., 2022
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Physical Description
- 253 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 84-04, Section: B.
- General Note
- Advisor: Harchaoui, Zaid;Kakade, Sham M.
- Dissertation Note
- Thesis (Ph.D.)--University of Washington, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Statistics.
- Index Term-Uncontrolled
- Federated learning
- Index Term-Uncontrolled
- Heterogeneity
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Optimization
- Index Term-Uncontrolled
- Robustness
- Index Term-Uncontrolled
- Text generation
- Added Entry-Corporate Name
- University of Washington Computer Science and Engineering
- Host Item Entry
- Dissertations Abstracts International. 84-04B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:626145
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■1001 ▼aPillutla, Krishna.
■24510▼aFrom Enormous Structured Models to On-Device Federated Learning: Robustness, Heterogeneity and Optimization.
■260 ▼a[S.l.]▼bUniversity of Washington. ▼c2022
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2022
■300 ▼a253 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 84-04, Section: B.
■500 ▼aAdvisor: Harchaoui, Zaid;Kakade, Sham M.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2022.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0250.
■650 4▼aComputer science.
■650 4▼aStatistics.
■653 ▼aFederated learning
■653 ▼aHeterogeneity
■653 ▼aMachine learning
■653 ▼aOptimization
■653 ▼aRobustness
■653 ▼aText generation
■690 ▼a0800
■690 ▼a0984
■690 ▼a0463
■71020▼aUniversity of Washington▼bComputer Science and Engineering.
■7730 ▼tDissertations Abstracts International▼g84-04B.
■773 ▼tDissertation Abstract International
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2022
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16619714▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202302▼f2023
