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Paper Abstract and Keywords
Presentation 2025-07-30 11:45
[Invited Lecture] Realizing Opportunistic Federated Learning in Heterogeneous Settings
Shota Ono (Univ. Tokyo), Ryota Hasegawa, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. Tech.)
Abstract (in Japanese) (See Japanese page) 
(in English) Federated learning enables collaborative machine learning across devices without sharing individual data. On mobile devices, it allows models to be trained cooperatively using sensing data, and various applications have been explored. However, device capabilities are heterogeneous, and it is necessary to consider environments where diverse tasks coexist. In this lecture, we introduce an opportunistic federated learning that adaptively allocates computational resources in environments characterized by device heterogeneity and task diversity.
Keyword (in Japanese) (See Japanese page) 
(in English) Distributed machine learning / federated learning / resource allocation / / / / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Online edition: ISSN 2432-6380
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Conference Information
Committee SR RCS RCC SeMI NS RISING HCL  
Conference Date 2025-07-30 - 2025-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English) MALIOS 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RISING 
Conference Code 2025-07-SR-RCS-RCC-SeMI-NS-RISING-HCL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Realizing Opportunistic Federated Learning in Heterogeneous Settings 
Sub Title (in English)  
Keyword(1) Distributed machine learning  
Keyword(2) federated learning  
Keyword(3) resource allocation  
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1st Author's Name Shota Ono  
1st Author's Affiliation The University of Tokyo (Univ. Tokyo)
2nd Author's Name Ryota Hasegawa  
2nd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
3rd Author's Name Takumi Miyoshi  
3rd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
4th Author's Name Taku Yamazaki  
4th Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
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Speaker Author-1 
Date Time 2025-07-30 11:45:00 
Presentation Time 25 minutes 
Registration for RISING 
Paper #  
Volume (vol) vol.125 
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