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arXiv · 2210.11747

A Finite Blocklength Approach for Wireless Hierarchical Federated Learning in the Presence of Physical Layer Security

Haonan Zhang·Chuanchuan Yang·Bin Dai
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Abstract

In this paper, the wireless hierarchical federated learning (HFL) is revisited by considering physical layer security (PLS). First, we establish a framework for this new problem. Then, we propose a practical finite blocklength (FBL) coding scheme for the wireless HFL in the presence of PLS, which is self-secure when the coding blocklength is lager than a certain threshold. Finally, the study of this paper is further explained via numerical examples and simulation results.

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BibTeXRIS

Haonan Zhang, Chuanchuan Yang, Bin Dai. 2022-10-21. A Finite Blocklength Approach for Wireless Hierarchical Federated Learning in the Presence of Physical Layer Security. https://arxiv.org/abs/2210.11747

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