Local Sharding is a method used to enhance scalability and performance in distributed networks. It involves dividing the network into smaller, manageable sections called shards, where each shard processes its transactions and maintains its own state. This reduces the load on the entire network since each shard operates independently.In a locally-sharded system, nodes are assigned to specific shards based on certain criteria, such as geographical location or specific functionalities. This localized processing allows for quicker transaction confirmations and reduces the overall time required for validation.By maintaining a smaller dataset within each shard, the network can achieve higher throughput. As more shards are added, the network can scale effectively without overwhelming individual nodes or creating bottlenecks. This approach not only improves efficiency but also enhances the user experience by facilitating faster transactions. Local Sharding represents a promising solution to the challenges of scalability faced by many distributed systems, making it easier to support a growing number of users and transactions.