Conclusion and future directions

This book, Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies, offers a thorough examination of split federated learning (splitfed) and its transformational potential across diverse IoT domains. Each chapter has covered a variety of topics, ranging from fundamental principles regarding processing techniques to particular applications in industries such as healthcare, education, transportation and agriculture. In this final chapter, we summarise the significant conclusions from previous chapters, address the remaining questions and suggest future research possibilities that will move this discipline ahead.