Overview of mobile communication network architecture based on federated learning

Aihua Li; Le Liu; Bin Wei; Yuanyuan Shi; Wei Wang

doi:10.1117/12.2640718

13 October 2022 Overview of mobile communication network architecture based on federated learning

Aihua Li, Le Liu, Bin Wei, Yuanyuan Shi, Wei Wang

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 1228716 (2022) https://doi.org/10.1117/12.2640718
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

Combine federated learning with the mobile network a good opportunity for the introduction of AI technology research and application in the mobile communication network.This article proposes a kind of the mobile network architecture based on FL to promote the integration of FL technologies with mobile communication network and to meet the joint modelling needs of users, operators, and industries. And points out some key technologies of the mobile network to illustrate how the mobile network to support FL working. Meanwhile, proposes some use cases to illustrate what possible application scenarios and values, if the FL technology is introduced into the mobile communication network.

Citation Download Citation

Aihua Li, Le Liu, Bin Wei, Yuanyuan Shi, and Wei Wang "Overview of mobile communication network architecture based on federated learning", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 1228716 (13 October 2022); https://doi.org/10.1117/12.2640718

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