Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …

Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …

The virtual world created by the development of the Internet, computers, artificial intelligence
(AI), and hardware technologies have brought various degrees of digital transformation to …

With the rapid development of cloud computing, edge computing, and smart devices,
computing power resources indicate a trend of ubiquitous deployment. The traditional …

In the rapidly evolving landscape of Industry 4.0, the complex computational tasks and the
associated massive data volumes present substantial opportunities for advancements in …

With the 5G worldwide deployment, the scale of vertical applications is innovated benefit
from 5G technologies including MEC (Multi‐access Edge Computing), network slicing, etc …

While recent years have witnessed the advancement in big data and artificial intelligence, it
is of much importance to safeguard data privacy and security. As an innovative approach …

分布异构计算资源通过网络连接形成算力网络(Computing power network, CPN), 其以“连”
和“算” 为核心. 针对广分布异构性导致可行解空间巨大, 强不确定性导致可行解空间易变 …

With the continuous transformation and development of information technologies, the smart
city is becoming a promising paradigm to deal with the enormous network data. Among …

With the rapid advancements in cloud computing, edge computing, and intelligent devices,
there has been a proliferation of computing resources with a trend toward ubiquitous …