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Scalable Federated ...
Scalable Federated Learning over Passive Optical Networks
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- Li, Jun, 1988 (author)
- Chalmers University of Technology, Sweden,Chalmers tekniska högskola
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- Chen, Lei (author)
- RISE,Mobilitet och system,RISE Research Institutes of Sweden
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- Chen, Jiajia, 1981 (author)
- Chalmers University of Technology, Sweden,Chalmers tekniska högskola
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2021
- 2021
- English.
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In: 2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings. - : Institute of Electrical and Electronics Engineers Inc.. - 9781943580866
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Abstract
Subject headings
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- Two-step aggregation is introduced to facilitate scalable federated learning (SFL) over passive optical networks (PONs). Results reveal that the SFL keeps the required PON upstream bandwidth constant regardless of the number of involved clients, while bringing 10% learning accuracy improvement. © 2021 OSA.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Keyword
- Optical fiber communication
- Optical fibers
- Passive networks
- Learning accuracy
- Passive optical networks
Publication and Content Type
- ref (subject category)
- kon (subject category)
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