👉 Shadows computing is an innovative approach to data processing and privacy that leverages the power of edge devices, such as smartphones or IoT sensors, to perform computations and store data locally without transmitting it to centralized cloud servers. This method uses a combination of on-device machine learning models and local data storage to execute tasks like image recognition, natural language processing, and other AI functions directly on the device. By doing so, it minimizes data exposure to potential cyber threats and enhances user privacy, as sensitive information never leaves the device. The shadows computing paradigm also reduces latency and bandwidth usage, making it particularly suitable for real-time applications and scenarios where connectivity is limited or unreliable.
