👉 Squad computing is an innovative approach to distributed computing that leverages the collective power of a network of interconnected devices, often referred to as "squads," to tackle complex computational tasks. Each squad operates semi-autonomously, with its own local processing capabilities and communication infrastructure, allowing them to work collaboratively while maintaining independence. This decentralized architecture enhances scalability, resilience, and efficiency, as tasks can be dynamically allocated among squads based on their current workload and resource availability. By distributing the computational load across multiple squads, squad computing can handle large-scale data processing, machine learning tasks, and other resource-intensive operations more effectively than traditional centralized systems. Furthermore, it supports real-time decision-making and adaptability, making it particularly suitable for applications in IoT, edge computing, and other scenarios requiring rapid response times.
