👉 Locally computing refers to the paradigm where data processing and computation occur close to the source of the data, rather than sending it to a centralized server. This approach minimizes latency and bandwidth usage, making it particularly suitable for real-time applications and devices with limited connectivity. By processing data locally, systems can respond more quickly to user inputs and reduce the load on network infrastructure. Examples include edge computing, where data from IoT devices is analyzed at the device level, and local servers or devices that handle computations for applications like augmented reality or autonomous vehicles. This paradigm enhances privacy, security, and efficiency, making it a crucial aspect of modern computing architectures.
