👉 Kick computing is a distributed computing technique that leverages the collective power of numerous small, resource-constrained devices to perform complex computations. In this approach, a task is divided into smaller subtasks, which are then allocated to various devices across a network. Each device executes its assigned subtask independently, often using local data and processing capabilities, and periodically sends the results back to a central coordinator or cluster. This decentralized model enables efficient resource utilization, enhances scalability, and improves fault tolerance, making it particularly useful for tasks like machine learning model training, data analysis, and simulations where large datasets and high computational demands are involved.
