Chapter 0 provides a detailed review of similar studies in the literature and the methods used. Chapter 0 is the Materials and Methods section. This chapter describes in detail the TCAB dataset, the TinyLlama large language model, the federated learning architecture, the AdamW optimization technique, and resource management. In Chapter 0, titled Experimental Environment and Experimental Results, detailed information about the methods, parameters, and results used to train the large language model with the TCAB dataset using full fine-tuning in the experimental environment created with the federated learning architecture is presented, supported by tables and graphs. The final part of our study, Conclusions and Future Work, discusses the findings obtained in Chapter 0 and provides recommendations for future research based on the summarized results of the study.