Edge computing, which is now a slashing method, allows for the processing and calculation
of upstream data in consideration of IoT properties and downstream data with the assistance …

In order to improve the security of internet of things, a privacy protection method of internet of
things nodes based on convolutional neural network is proposed. Firstly, the flow model of …

With the widespread application of facial image recognition in fields such as finance, social
media, and transportation, the privacy data of facial images is also frequently leaked. In …

Mobile-edge computing (MEC) has emerged as a promising paradigm that moves tasks
running in the cloud to edge servers. In MEC systems, there are various individual …

A considerable portion of computing power is always required to perform symbolic
calculations. The reliability and effectiveness of algorithms are two of the most significant …

Con el creciente desarrollo de la Generative Adversarial Network (GAN), la generación de
imágenes son un desafío emocionante en el campo del aprendizaje profundo y la …

Federated Learning (FedL) emerged as a privacy-aware alternative, creating an effective
means for multiple data providers to enable collaboration on training models without …

Abstract Under the Internet of Things (IoT) era, the cooperation of multiple service providers
has facilitated the development of large-scale distributed IoT with a strong demand for …

Social Internet of Things (SIoT) is an expansion of the Internet of Things (IoT) that meets with
person-to-person communication ideas to make informal organizations of interconnected …

Abstract Intelligent IoT (Internet of Things) terminals are widely deployed in IoT systems and
complete tasks such as data collection, data processing and analysis. The intelligent …