Federated networks are systems that allow multiple independent entities to collaborate while maintaining their autonomy. Each participant, or node, can share data and resources without needing to centralize control. This structure enhances privacy and security, as sensitive information remains within the individual networks. In a federated network, communication occurs through standardized protocols, enabling seamless interaction between different nodes. Examples include federated learning, where machine learning models are trained across decentralized devices, and federated social networks, which allow users to connect without relying on a single platform. This approach promotes diversity and resilience in digital ecosystems.