AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
AoI-aware Sensing Scheduling and Trajectory Optimization for Multi-UAV-assisted Wireless Backscatter Networks
This paper considers multiple unmanned aerial vehicles (UAVs) to assist sensing data
transmissions from the ground users (GUs) to a remote base station (BS). Each UAV collects …
transmissions from the ground users (GUs) to a remote base station (BS). Each UAV collects …
Optimizing Mobility-Aware Task Offloading in Smart Healthcare for Internet of Medical Things Through Multi-Agent Reinforcement Learning
In the scenario of smart healthcare applications, the Internet of Medical Things (IoMT)
devices, equipped with limited resources, would offload numerous computation-heavy tasks …
devices, equipped with limited resources, would offload numerous computation-heavy tasks …
End-to-end multi-sensor fusion method based on deep reinforcement learning in UASNs
Underwater acoustic sensor networks (UASNs) have attracted considerable attention and
are extensively employed for tracking underwater targets. However, due to the complex …
are extensively employed for tracking underwater targets. However, due to the complex …
Lightweight Federated Graph Learning for Accelerating Classification Inference in UAV-assisted MEC Systems
With flexible mobility and broad communication coverage, Unmanned Aerial Vehicles
(UAVs) have become an important extension of Multi-access Edge Computing (MEC) …
(UAVs) have become an important extension of Multi-access Edge Computing (MEC) …
Loss Aware Federated Learning for Service Migration in Multimodal E-Health Services
In an emergency healthcare situation, delay between injury and treatment is one of the most
critical parameters with regard to survivability. Reduction in diagnosis/pre-treatment time by …
critical parameters with regard to survivability. Reduction in diagnosis/pre-treatment time by …
On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey
Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and aerial
networks with terrestrial wireless systems, are vital enablers of the emerging sixth …
networks with terrestrial wireless systems, are vital enablers of the emerging sixth …
Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation
Y Zhang, S Wang, Z Chen, X Xu, S Funiak… - Pacific-Asia Conference …, 2024 - Springer
Multi-agent reinforcement learning (MARL) often adopts centralized training with a
decentralized execution (CTDE) framework to facilitate cooperation among agents. When it …
decentralized execution (CTDE) framework to facilitate cooperation among agents. When it …
[PDF][PDF] Deep-EERA: DRL-based Energy-Efficient Resource Allocation in UAV-Empowered Beyond 5G Networks
S Ahmad, J Zhang, A Nauman, A Khan… - Tsinghua Science …, 2024 - researchgate.net
Deep-EERA: DRL-based Energy-Efficient Resource Allocation in UAV-Empowered Beyond
5G Networks Page 1 TSINGHUA SCIENCE AND TECHNOLOGY DOI: 10.26599/TST.2022.90100 …
5G Networks Page 1 TSINGHUA SCIENCE AND TECHNOLOGY DOI: 10.26599/TST.2022.90100 …