A Comprehensive Survey on Revolutionizing Connectivity Through Artificial Intelligence-Enabled Digital Twin Network in 6G

M Sheraz, TC Chuah, YL Lee, MM Alam, Z Han - IEEE Access, 2024 - ieeexplore.ieee.org
The deployment of 5G has exposed capacity constraints in realizing the key vision of the
Internet of Everything (IoE). Therefore, the researchers are exploring potentials of Digital …

Toward the Internet of Medical Things: Architecture, trends and challenges

Q Niu, H Li, Y Liu, Z Qin, L Zhang, J Chen… - Mathematical …, 2024 - diva-portal.org
In recent years, the growing pervasiveness of wearable technology has created new
opportunities for medical and emergency rescue operations to protect users' health and …

[HTML][HTML] Quantum conditional generative adversarial network based on patch method for abnormal electrocardiogram generation

Z Qu, W Shi, P Tiwari - Computers in Biology and Medicine, 2023 - Elsevier
To address the scarcity and class imbalance of abnormal electrocardiogram (ECG)
databases, which are crucial in AI-driven diagnostic tools for potential cardiovascular …

QFSM: a novel quantum federated learning algorithm for speech emotion recognition with minimal gated unit in 5G IoV

Z Qu, Z Chen, S Dehdashti… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The technology of speech emotion recognition (SER) has been widely applied in the field of
human-computer interaction within the Internet of Vehicles (IoV). The incorporation of …

[HTML][HTML] A multifaceted survey on privacy preservation of federated learning: progress, challenges, and opportunities

S Saha, A Hota, AK Chattopadhyay, A Nag… - Artificial Intelligence …, 2024 - Springer
Federated learning (FL) refers to a system of training and stabilizing local machine learning
models at the global level by aggregating the learning gradients of the models. It reduces …

[HTML][HTML] Decentralized asynchronous adaptive federated learning algorithm for securely prediction of distributed power data

Q Li, D Liu, H Cao, X Liao, X Lai, W Cui - Frontiers in Energy …, 2024 - frontiersin.org
Introduction: Improving the precision and real-time speed of electricity data prediction while
safeguarding data privacy and security holds immense significance for all power system …

Quantum Fuzzy Federated Learning for Privacy Protection in Intelligent Information Processing

Z Qu, L Zhang, P Tiwari - IEEE Transactions on Fuzzy Systems, 2024 - ieeexplore.ieee.org
With the advent of the intelligent information processing era, more and more private
sensitive data are being collected and analyzed for intelligent decision making tasks. Such …