When Wireless Hierarchical Federated Learning Meets Physical Layer Security: A Finite Blocklength Approach for MIMO Channel

被引：0
|
作者：
Zhang, Haonan [1 ,3 ]
Yu, Zhiming [1 ,3 ]
Yang, Chuanchuan [2 ,3 ]
Dai, Bin [1 ,3 ]
机构：
[1] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China
[2] Peking Univ, Dept Elect, Beijing 100871, Peoples R China
[3] Peng Cheng Lab, Shenzhen 518055, Peoples R China
来源：
2023 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS | 2023年
基金：
中国国家自然科学基金;
关键词：
Finite blocklength coding; MIMO channel; physical layer security; wireless federated learning;
D O I：
10.1109/ICCWORKSHOPS57953.2023.10283538
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the authors' previous work, a framework for the wireless hierarchical federated learning (HFL) in the presence of physical layer security (PLS) is established, and a finite blocklength (FBL) approach for the wireless SISO channel is proposed. In this paper, we further propose an FBL approach for the MIMO channel, and show that the proposed scheme almost achieves perfect secrecy without affecting the learning performance of wireless HFL, and the transmission latency of our proposed scheme is significantly shorter than that of classical LDPC code.
引用
收藏
页码：580 / 585
页数：6
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