Dynamic user clustering for efficient and privacy-preserving federated learning
With the wider adoption of machine learning and increasing concern about data privacy, federated learning (FL) has received tremendous attention. FL schemes typically enable a set of participants, i.e., data owners, to individually train a machine learning model using their local data, which are the...
Main Authors: | , , , , , |
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Other Authors: | |
Format: | Journal Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/179908 |