Resource Optimized Hierarchical Split Federated Learning for Wireless Networks

Author:

Khan Latif U.1ORCID,Guizani Mohsen1ORCID,Hong Choong Seon2ORCID

Affiliation:

1. Mohammad Bin Zayed University of Artificial Intelligence, United Arab Emirates

2. Kyung Hee University, The Democratic People's Republic of Korea

Publisher

ACM

Reference16 articles.

1. Hierarchical Federated Learning ACROSS Heterogeneous Cellular Networks

2. A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

3. Zhu Han , Mingyi Hong , and Dan Wang . 2017. Signal processing and networking for big data applications . Cambridge University Press . Zhu Han, Mingyi Hong, and Dan Wang. 2017. Signal processing and networking for big data applications. Cambridge University Press.

4. Latif  U Khan , Mohsen Guizani , Dusit Niyato , Ala Al-Fuqaha , and Merouane Debbah . 2023. Metaverse for Wireless Systems: Architecture , Advances, Standardization, and Open Challenges. arXiv preprint arXiv:2301.11441 ( 2023 ). Latif U Khan, Mohsen Guizani, Dusit Niyato, Ala Al-Fuqaha, and Merouane Debbah. 2023. Metaverse for Wireless Systems: Architecture, Advances, Standardization, and Open Challenges. arXiv preprint arXiv:2301.11441 (2023).

5. Latif  U Khan , Zhu Han , Dusit Niyato , Ekram Hossain , and Choong Seon Hong . 2022. Metaverse for Wireless Systems: Vision , Enablers, Architecture, and Future Directions. arXiv preprint arXiv:2207.00413 ( 2022 ). Latif U Khan, Zhu Han, Dusit Niyato, Ekram Hossain, and Choong Seon Hong. 2022. Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions. arXiv preprint arXiv:2207.00413 (2022).

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