AttFL: Personalized FL Framework for Time-series Data Processing (Code)
- Project
- 19045 STACK
- Type
- New system
- Description
This achievement introduces AttFL, a federated learning framework for resource-limited platforms and suitable for their time series data analysis. This work has been published at PACM IMWUT and will be presented at ACM UbiComp 2023. An open source code is available at https://github.com/eis-lab/attfl
- Contact
- JeongGil Ko
- jeonggil.ko@yonsei.ac.kr
- Research area(s)
- Federated learning; machine learning
- Technical features
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- Integration constraints
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- Conditions for reuse
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- Confidentiality
- Public
- Publication date
- 15-11-2023
- Involved partners
- Yonsei University (KOR)