Sustainable Development Using Blockchain Empowered Federated Learning for IoT Applications

In the era of the Internet of Things (IoT), vast amounts of data are generated by a multitude of interconnected devices. While these data hold immense potential for sustainable development, concerns regarding privacy, security, and resource efficiency pose significant challenges. The intersection of blockchain technology and federated learning as a promising approach to addressing these challenges and enabling sustainable development through IoT applications. The chapter discusses the technical aspects of implementing blockchain-empowered federated learning for IoT applications, highlighting key considerations such as scalability, energy efficiency, and incentive mechanisms. Furthermore, it addresses challenges and limitations, including regulatory aspects, security vulnerabilities, and potential trade-offs between privacy and model performance. By analyzing successful case studies and ongoing research, the chapter concludes by outlining future directions and exploring the potential of transformative technology convergence to contribute to a more sustainable future driven by the intelligent and interconnected world of IoT.