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...
المؤلفون الرئيسيون: | Zhang, Tinghao, Lam, Kwok-Yan, Zhao, Jun |
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مؤلفون آخرون: | College of Computing and Data Science |
التنسيق: | Conference Paper |
اللغة: | English |
منشور في: |
2024
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الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/176958 |
مواد مشابهة
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Joint device scheduling and bandwidth allocation for federated learning over wireless networks
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An incentive mechanism with bandwidth allocation for federated learning
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منشور في: (2022-12-01) -
An incentive mechanism with bandwidth allocation for federated learning
حسب: Yingyun GUO, وآخرون
منشور في: (2022-12-01)