A privacy-preserving matrix multiplication task outsourcing method based on edge computing
A privacy protection and edge computing technology, applied in the computer field, can solve problems such as the lack of matrix multiplication task computing power of IoT devices, and achieve the effects of improving data security, reducing computing pressure, and reducing time complexity
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[0061] In order to enable those skilled in the art to better understand the solution of the present application, the present application will be further described in detail below in conjunction with the drawings and specific implementation methods. Apparently, the described embodiments are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0062] figure 1 It is a system model of edge computing. In IoT systems, devices (including sensors, smartphones, and wearable devices, etc.) are connected to enable the use and interaction of various applications, but these devices have limited computing and storage capacity. In edge computing, computing resources are located at the edge of the network, close to end devices. These edge servers provide sufficient computin...
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