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Scoring aided federated learning on long-tailed data for wireless IoMT based healthcare system
L Zhang, Y Wu, L Chen, L Fan… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
In this article, we propose a novel federated learning (FL) framework for wireless Internet of
Medical Things (IoMT) based healthcare systems, where multiple mobile clients and one …
Medical Things (IoMT) based healthcare systems, where multiple mobile clients and one …
[HTML][HTML] Acoustic fingerprints in nature: A self-supervised learning approach for ecosystem activity monitoring
Abstract According to the World Health Organization, healthy communities rely on well-
functioning ecosystems. Clean air, fresh water, and nutritious food are inextricably linked to …
functioning ecosystems. Clean air, fresh water, and nutritious food are inextricably linked to …
[HTML][HTML] Intelligent End-Edge Computation Offloading Based on Lyapunov-Guided Deep Reinforcement Learning
X Feng, C Xu, X **, C **a, J Jiang - Applied Sciences, 2024 - mdpi.com
To address the end-edge computation offloading challenge in the multi-terminal and multi-
server environment, this paper proposes an intelligent computation offloading algorithm …
server environment, this paper proposes an intelligent computation offloading algorithm …
A Data Synchronization Incentive Scheme in Vehicular Digital Twin Network with Stackelberg Game
The evolving digital twin technology translates physical entities into the digital realm,
allowing the exploration of abundant digital resources to optimize the task execution of these …
allowing the exploration of abundant digital resources to optimize the task execution of these …
OLRAMT-DEC: Online Learning-Based Resource Allocation for AI Model Training in a Device-Edge-Cloud Continuum
The advancement of applications based on various Deep Neural Network (DNN)
architectures, such as Large Language Models (LLMs) has led to an increasing need for the …
architectures, such as Large Language Models (LLMs) has led to an increasing need for the …
Joint Computing Offloading and Resource Allocation for Classification Intelligent Tasks in MEC Systems
Mobile edge computing (MEC) enables low-latency and high-bandwidth applications by
bringing computation and data storage closer to end-users. Intelligent computing is an …
bringing computation and data storage closer to end-users. Intelligent computing is an …
Joint Request Offloading and Resource Allocation for Energy Efficient D2D Enabled Multi-type Inference Services
Z Zeng, J Huang, J Wu, J Wu - 2023 IEEE Intl Conf on Parallel & …, 2023 - ieeexplore.ieee.org
Tremendous research efforts have devoted in providing multi-type inference services for
users by deploying heterogeneous models in edge servers (ESs). But, resource contention …
users by deploying heterogeneous models in edge servers (ESs). But, resource contention …
Multi-drone Task Allocation based on Adaptive Fireworks Algorithm
T Yu, Z **e, J Tuo - 2023 Global Conference on Information …, 2023 - ieeexplore.ieee.org
At present, a kind of flight equipment commonly used by analysts can carry out various tasks
and achieve good results. At present, the research method is mainly to plan GPS on …
and achieve good results. At present, the research method is mainly to plan GPS on …