Distributed scaling refers to the process of enhancing a network’s capacity to handle more transactions and users by utilizing a decentralized approach. Instead of relying on a central server, this method distributes the workload across multiple nodes or participants. This can improve efficiency and reduce bottlenecks.One of the key benefits of distributed scaling is that it maintains the security and integrity of the network. Since there’s no single point of failure, the system becomes more resilient against attacks or outages.Various techniques can be employed for distributed scaling, such as sharding, where the database is partitioned into smaller pieces to spread out the load, or layer-2 solutions, which operate on top of the main blockchain to process transactions more quickly.Overall, distributed scaling aims to create a more robust and efficient system capable of supporting a growing number of transactions without sacrificing performance or security.