Device scheduling and bandwidth allocation for federated learning over wireless networks
Federated Learning (FL) has been widely used to train shared machine learning models while addressing the privacy concerns. When deployed in wireless networks, bandwidth resources limitation is a key issue, thereby necessitating device scheduling and bandwidth allocation. It is challenging to carry...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2024
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Online Access: | https://hdl.handle.net/10356/176958 |
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Institution: | Nanyang Technological University |
Language: | English |
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