Data source selection in federated learning: A submodular optimization approach
Federated learning is a new learning paradigm that jointly trains a model from multiple data sources without sharing raw data. For the practical deployment of federated learning, data source selection is compulsory due to the limited communication cost and budget in real-world applications. The nece...
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Main Authors: | , , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2022
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7219 https://ink.library.smu.edu.sg/context/sis_research/article/8222/viewcontent/dasfaa22_zhang.pdf |
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Institution: | Singapore Management University |
Language: | English |