Swarm Learning is a transformative approach to machine intelligence that focuses on training at the edge. This means that edge devices not only become smarter but also have the capability to train their peers. By eliminating the need for a central authority, it leverages Blockchain technology to enhance control, privacy, and security.

Swarm Learning enhances device intelligence by enabling edge devices to learn from each other. As these devices process data locally, they can share insights and improve their algorithms collectively, leading to smarter and more efficient operations without relying on centralized data processing.

Blockchain plays a crucial role in Swarm Learning by providing a secure and decentralized framework. It ensures that data privacy and control are maintained while allowing devices to collaborate and learn from one another. This integration helps in building trust among devices and enhances the overall security of the learning process.