A Comprehensive Survey on Revolutionizing Connectivity Through Artificial Intelligence-Enabled Digital Twin Network in 6G
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 …
Internet of Everything (IoE). Therefore, the researchers are exploring potentials of Digital …
Toward the Internet of Medical Things: Architecture, trends and challenges
In recent years, the growing pervasiveness of wearable technology has created new
opportunities for medical and emergency rescue operations to protect users' health and …
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 …
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 …
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
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 …
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 …
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 …
sensitive data are being collected and analyzed for intelligent decision making tasks. Such …