👉 Subcommittee computing is a distributed computing paradigm where a larger computational task is divided into smaller sub-tasks, each assigned to a separate subcommittee or group of nodes. These subcommittees work in parallel, performing their respective computations independently to achieve the overall goal more efficiently. The results from each subcommittee are then aggregated or combined to form the final output. This approach enhances scalability, fault tolerance, and resource utilization, making it particularly effective for complex problems that require extensive computational power or large datasets. By distributing the workload, subcommittee computing can significantly reduce processing time and improve system robustness.
