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

Haonan Zhang, Chuanchuan Yang, Bin Dai

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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