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

TL;DR

This paper introduces a finite blocklength coding scheme for wireless hierarchical federated learning that enhances physical layer security, providing a practical and self-secure solution validated through simulations.

Contribution

It proposes a novel finite blocklength coding framework for secure wireless hierarchical federated learning, addressing physical layer security challenges.

Findings

The coding scheme is self-secure when blocklength exceeds a threshold.

Numerical and simulation results demonstrate the effectiveness of the proposed approach.

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.