👉 Blind computing, also known as distributed or parallel computing, is a method where multiple computing resources are utilized simultaneously to solve complex problems, with each resource working on different parts of the computation without direct access to the data it processes. This approach is particularly useful for handling large-scale, computationally intensive tasks such as simulations, data analysis, and machine learning. In blind computing, the individual processors operate independently, exchanging only aggregated results or intermediate outputs, which are then combined to form the final solution. This design enhances efficiency and scalability, as it allows for the distribution of workload across numerous machines, reducing processing time and resource constraints while maintaining data privacy and security by keeping raw data off the computing nodes.
