👉 Ridge computing is a distributed computing paradigm that aims to improve the efficiency and performance of large-scale machine learning tasks by leveraging a network of edge devices, such as smartphones, IoT sensors, and other resource-constrained nodes. Unlike traditional cloud computing, which centralizes data processing in remote servers, ridge computing distributes computation and storage across these edge devices. This approach reduces latency, conserves bandwidth, and enhances privacy by keeping sensitive data on the local device. Ridge computing systems are designed to dynamically allocate tasks based on the capabilities and proximity of edge nodes, enabling real-time processing and decision-making. By offloading computationally intensive tasks from central servers to edge devices, ridge computing not only optimizes resource utilization but also supports applications requiring immediate responses, such as autonomous vehicles and smart cities.
