Wei Yang Bryan Lim – författare
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3 produkter
3 produkter
Inbunden, Engelska, 2024
1 423 kr
Skickas
A guide to the challenges in making virtual reality, reality The Metaverse, a version of the internet in which online interactions take place in real time within fully realized virtual spaces, has been promised as the next frontier in wireless communication. It has drawn huge investment from Silicon Valley and widespread media attention. However, the technologies required to make the Metaverse a reality are still in their infancy, and significant barriers must be overcome if this massive step is to be taken. Realizing the Metaverse provides a systematic overview of these challenges and their likely solutions. Focusing on five key areas—infrastructure, access, intelligence, security, and future developments—it offers one of the first comprehensive, formalized treatments of the Metaverse as a nascent reality. It promises to be an integral contribution to the future development of Metaverse technologies. Realizing the Metaverse readers will also find: An editorial team with extensive research experience in the fieldDetailed discussion of topics such as augmented reality (AR) adaptation, haptic feedback, artificial intelligence, and moreEnlightening discussion of open questions and future prospects for researchRealizing the Metaverse is ideal for graduate and advanced undergraduate students in wireless technology, network communications, and related fields, as well as for researchers and industry professionals involved with the Metaverse or adjacent technologies.
Inbunden, Engelska, 2022
1 073 kr
Skickas inom 10-15 vardagar
This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks.
Häftad, Engelska, 2023
1 073 kr
Skickas inom 10-15 vardagar
This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks. This provides readers with a concise introduction to the challenges and state-of-the-art approaches towards implementing FL over the wireless edge network. Then, in consideration of resource heterogeneity at the network edge, the authors provide multifaceted solutions at the intersection of network economics, game theory, and machine learning towards improving the efficiency of resource allocation for FL over the wireless edge networks. A clear understanding of such issues and the presented theoretical studies will serve to guide practitioners and researchers in implementing resource-efficient FL systems and solving the open issues in FL respectively.