Search Results for author: Jiadong Yu

Found 8 papers, 0 papers with code

Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System

no code implementations15 Feb 2024 Tailin Zhou, Jiadong Yu, Jun Zhang, Danny H. K. Tsang

This paper investigates resource allocation to provide heterogeneous users with customized virtual reality (VR) services in a mobile edge computing (MEC) system.

Edge-computing Federated Learning

Attention-based QoE-aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality

no code implementations15 May 2023 Jiadong Yu, Ahmad Alhilal, Tailin Zhou, Pan Hui, Danny H. K. Tsang

In this paper, we tackle this desynchronization using a continual RL framework that facilitates the resource allocation dynamically for MEC-enabled VR content streaming.

Continual Learning Edge-computing +2

Bi-directional Digital Twin and Edge Computing in the Metaverse

no code implementations16 Nov 2022 Jiadong Yu, Ahmad Alhilal, Pan Hui, Danny H. K. Tsang

Multi-access edge computing (MEC) provides responsive services to the end users, ensuring an immersive and interactive Metaverse experience.

Continual Learning Edge-computing

6G Mobile-Edge Empowered Metaverse: Requirements, Technologies, Challenges and Research Directions

no code implementations9 Nov 2022 Jiadong Yu, Ahmad Alhilal, Pan Hui, Danny H. K. Tsang

The Metaverse has emerged as the successor of the conventional mobile internet to change people's lifestyles.

Edge-computing

Distributed Intelligence in Wireless Networks

no code implementations1 Aug 2022 Xiaolan Liu, Jiadong Yu, Yuanwei Liu, Yue Gao, Toktam Mahmoodi, Sangarapillai Lambotharan, Danny H. K. Tsang

In this paper, we conduct a comprehensive overview of recent advances in distributed intelligence in wireless networks under the umbrella of native-AI wireless networks, with a focus on the basic concepts of native-AI wireless networks, on the AI-enabled edge computing, on the design of distributed learning architectures for heterogeneous networks, on the communication-efficient technologies to support distributed learning, and on the AI-empowered end-to-end communications.

Decision Making Edge-computing

Integrated Gallium Nitride Nonlinear Photonics

no code implementations30 Oct 2020 Yanzhen Zheng, Changzheng Sun, Bing Xiong, Lai Wang, Zhibiao Hao, Jian Wang, Yanjun Han, Hongtao Li, Jiadong Yu, Yi Luo

Thanks to its high nonlinearity and high refractive index contrast, GaN-on-insulator (GaNOI) is also a promising platform for nonlinear optical applications.

Optics Applied Physics

Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing

no code implementations5 Apr 2020 Xiaolan Liu, Jiadong Yu, Yue Gao

To support popular Internet of Things (IoT) applications such as virtual reality, mobile games and wearable devices, edge computing provides a front-end distributed computing archetype of centralized cloud computing with low latency.

Cloud Computing Distributed Computing +5

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