Task-Load-Aware Game-Theoretic Framework for Wireless Federated Learning

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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