Federated Control
Federated control is a distributed systems concept where multiple autonomous entities or systems coordinate and collaborate while maintaining their independence and local control. It enables decentralized decision-making and resource management across heterogeneous environments, such as in cloud computing, IoT networks, or multi-domain systems. This approach balances autonomy with interoperability, allowing systems to work together without a central authority.
Developers should learn federated control when building scalable, resilient applications that span multiple domains or organizations, such as in federated learning, edge computing, or cross-cloud deployments. It is crucial for scenarios requiring data privacy, regulatory compliance, or fault tolerance, as it avoids single points of failure and central bottlenecks. Use cases include distributed AI training, smart grid management, and collaborative robotics.