Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling

X Chen, T Du, M Wang, T Gu, Y Zhao, G Kou… - arXiv preprint arXiv …, 2024 - arxiv.org
Federated learning, as a promising distributed learning paradigm, enables collaborative
training of a global model across multiple network edge clients without the need for central …

AoI-Aware, Digital Twin-Empowered IoT Query Services in Mobile Edge Computing

J Li, S Guo, W Liang, J Wu, Q Chen… - IEEE/ACM …, 2024 - ieeexplore.ieee.org
The Mobile Edge Computing (MEC) paradigm gives impetus to the vigorous advancement of
the Internet of Things (IoT), through provisioning low-latency computing services at network …

Cost Minimization of Digital Twin Placements in Mobile Edge Computing

Y Zhang, W Liang, W Xu, Z Xu, X Jia - ACM Transactions on Sensor …, 2024 - dl.acm.org
In the past decades, explosive numbers of Internet of Things (IoT) devices (objects) have
been connected to the Internet, which enable users to access, control, and monitor their …

面向算力网络的智慧调度综述

李逸博, 李小平, 王爽, 蒋嶷川 - 自动化学报, 2024 - aas.net.cn
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 …

Mobility-Aware Service Provisioning in Edge Computing via Digital Twin Replica Placements

Y Zhang, W Liang, Z Xu, X Jia - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
Digital twin (DT) has been emerging as an enabling technology to provide seamless
interactions between the virtual cyber world and the real world. The explosion of IoT devices …