Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/25939
Title: | Task-Load-Aware Game-Theoretic Framework for Wireless Federated Learning |
Authors: | Liu, J Zhang, G Wang, K Yang, K |
Keywords: | machine learning;federated learning;resource allocation;Bertrand game;Nash equilibrium |
Issue Date: | 28-Sep-2022 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | Liu, J. et al. (2023) 'Task-Load-Aware Game-Theoretic Framework for Wireless Federated Learning', IEEE Communications Letters, 27 (1), pp. 268 - 272. doi: 10.1109/LCOMM.2022.3210604. |
URI: | https://bura.brunel.ac.uk/handle/2438/25939 |
DOI: | https://doi.org/10.1109/LCOMM.2022.3210604 |
ISSN: | 1089-7798 |
Other Identifiers: | ORCID iDs: Jiawei Liu https://orcid.org/0000-0002-0532-6697; Guopeng Zhang https://orcid.org/0000-0001-7524-3144; Kezhi Wang https://orcid.org/0000-0001-8602-0800; Kun Yang https://orcid.org/0000-0002-6782-6689. |
Appears in Collections: | Dept of Computer Science Research Papers |
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