Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Lim, Wei Yang Bryan"'
Federated Learning (FL) is a promising privacy-preserving machine learning paradigm that allows data owners to collaboratively train models while keeping their data localized. Despite its potential, FL faces challenges related to the trustworthiness
Externí odkaz:
http://arxiv.org/abs/2405.18802
Recent breakthroughs in generative artificial intelligence have triggered a surge in demand for machine learning training, which poses significant cost burdens and environmental challenges due to its substantial energy consumption. Scheduling trainin
Externí odkaz:
http://arxiv.org/abs/2304.07948
Autor:
Zhang, Siyue, Lim, Wei Yang Bryan, Ng, Wei Chong, Xiong, Zehui, Niyato, Dusit, Shen, Xuemin Sherman, Miao, Chunyan
As the Metaverse is iteratively being defined, its potential to unleash the next wave of digital disruption and create real-life value becomes increasingly clear. With distinctive features of immersive experience, simultaneous interactivity, and user
Externí odkaz:
http://arxiv.org/abs/2211.03057
Autor:
Kaewpuang, Rakpong, Xu, Minrui, Lim, Wei Yang Bryan, Niyato, Dusit, Yu, Han, Kang, Jiawen, Shen, Xuemin Sherman
Increasing privacy and security concerns in intelligence-native 6G networks require quantum key distribution-secured semantic information communication (QKD-SIC). In QKD-SIC systems, edge devices connected via quantum channels can efficiently encrypt
Externí odkaz:
http://arxiv.org/abs/2209.11957
The physical-virtual world synchronization to develop the Metaverse will require a massive transmission and exchange of data. In this paper, we introduce semantic communication for the development of virtual transportation networks in the Metaverse.
Externí odkaz:
http://arxiv.org/abs/2208.14661
Autor:
Liew, Zi Qin, Du, Hongyang, Lim, Wei Yang Bryan, Xiong, Zehui, Niyato, Dusit, Miao, Chunyan, Kim, Dong In
Semantic communication technologies enable wireless edge devices to communicate effectively by transmitting semantic meaning of data. Edge components, such as vehicles in next-generation intelligent transport systems, use well-trained semantic models
Externí odkaz:
http://arxiv.org/abs/2208.05040
Autor:
Yang, Wanting, Du, Hongyang, Liew, Ziqin, Lim, Wei Yang Bryan, Xiong, Zehui, Niyato, Dusit, Chi, Xuefen, Shen, Xuemin Sherman, Miao, Chunyan
With the increasing demand for intelligent services, the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on high transmission rate to a new architecture that is based on the intelligent connectio
Externí odkaz:
http://arxiv.org/abs/2207.00427
A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges
Autor:
Xu, Minrui, Ng, Wei Chong, Lim, Wei Yang Bryan, Kang, Jiawen, Xiong, Zehui, Niyato, Dusit, Yang, Qiang, Shen, Xuemin Sherman, Miao, Chunyan
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 realizing the full vision of an immersive, embodied, and interoperabl
Externí odkaz:
http://arxiv.org/abs/2203.05471
Autor:
Yang, Wanting, Liew, Zi Qin, Lim, Wei Yang Bryan, Xiong, Zehui, Niyato, Dusit, Chi, Xuefen, Cao, Xianbin, Letaief, Khaled B.
The development of emerging applications, such as autonomous transportation systems, are expected to result in an explosive growth in mobile data traffic. As the available spectrum resource becomes more and more scarce, there is a growing need for a
Externí odkaz:
http://arxiv.org/abs/2202.06471