A Qammar, A Karim, H Ning, J Ding - Artificial Intelligence Review, 2023 - Springer
Federated learning (FL) is a promising framework for distributed machine learning that trains models without sharing local data while protecting privacy. FL exploits the concept of …
Artificial intelligence (AI) can predict the presence of molecular alterations directly from routine histopathology slides. However, training robust AI systems requires large datasets …
Edge Intelligence is an emerging technology which has attracted significant attention. It applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …
Federated learning (FL) is a promising decentralized deep learning technology, which allows users to update models cooperatively without sharing their data. FL is reshaping …
D Li, Z Luo, B Cao - Cluster Computing, 2022 - Springer
Blockchain technology is an undeniable ledger technology that stores transactions in high- security chains of blocks. Blockchain can solve security and privacy issues in a variety of …
C Zhu, X Zhu, J Ren, T Qin - Ieee Access, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) extend the traditional ground-based Internet of Things (IoT) into the air. UAV mobile edge computing (MEC) architectures have been proposed by …
H Kasyap, S Tripathy - Expert Systems with Applications, 2024 - Elsevier
Data is readily available with the growing number of smart and IoT devices. However, application-specific data is available in small chunks and distributed across demographics …
Y Chen, Y Gui, H Lin, W Gan… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In terms of artificial intelligence, there are several security and privacy deficiencies in the traditional centralized training methods of machine learning models by a server. To address …
The unexpected and rapid spread of the COVID-19 pandemic has amplified the acceptance of remote healthcare systems such as telemedicine. Telemedicine effectively provides …