Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …

Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …

This paper presents a comprehensive survey of Federated Reinforcement Learning (FRL),
an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of …

Since reinforcement learning algorithms are notoriously data-intensive, the task of sampling
observations from the environment is usually split across multiple agents. However …

In the last few decades, technology advancements have paved the way for the creation of
intelligent and autonomous systems that utilize complex calculations which are both time …

Dynamic off-chain routing in payment channel network (PCN)-based Internet of Things (IoT)
is attracting increasing research attention. However, there are two major issues in dynamic …

Edge intelligence is emerging as a new interdiscipline to push learning intelligence from
remote centers to the edge of the network. However, with its widespread deployment, new …

Abstract Today, Artificial Intelligence (AI) is poised to take on Industry 4.0. Machines have
conquered the human interface in complex board games like chess and Chinese games …

The diabetes is a critical disease from the small children to old age people. Due to improper
diet and physical activities of the living population, obesity becomes prevalent in young …

With the development of Internet technology, information has become an increasingly
important asset for the operation and planning of power systems. However, the existing …