A PhD student at the University of Portsmouth has developed a promising framework named FedLLMGuard to enhance security in 5G wireless communications, addressing vulnerabilities inherent in these networks due to their dynamic nature and high data volumes. This innovative approach combines large language models with federated learning to enable real-time detection of abnormalities while safeguarding user privacy. As 5G networks play a crucial role in various sectors, including healthcare and finance, this advancement is significant in mitigating cyber threats and ensuring robust data protection. The broader implications of this research highlight the necessity of securing next-generation communication technologies as they become increasingly integral to modern infrastructure.