Applying federated learning in software-defined networks: A survey
X Ma, L Liao, Z Li, RX Lai, M Zhang - Symmetry, 2022 - mdpi.com
Federated learning (FL) is a type of distributed machine learning approacs that trains global
models through the collaboration of participants. It protects data privacy as participants only …
models through the collaboration of participants. It protects data privacy as participants only …
Hierarchical federated learning based anomaly detection using digital twins for smart healthcare
Internet of Medical Things (IoMT) is becoming ubiquitous with a proliferation of smart
medical devices and applications used in smart hospitals, smart-home based care, and …
medical devices and applications used in smart hospitals, smart-home based care, and …
AI-assisted secure data transmission techniques for next-generation HetNets: A review
Abstract Heterogeneous Networks (HetNets) play an imperative role in enhancing the
quality-of-service (QoS) for end-users by increasing the spectral efficiency (SE) of the …
quality-of-service (QoS) for end-users by increasing the spectral efficiency (SE) of the …
A robust adversary detection-deactivation method for metaverse-oriented collaborative deep learning
Metaverse is trending to create a digital circumstance that can transfer the real world to an
online platform supported by large quantities of real-time interactions. Pretrained artificial …
online platform supported by large quantities of real-time interactions. Pretrained artificial …
Computer aided diagnosis of melanoma using deep neural networks and game theory: application on dermoscopic images of skin lesions
Early detection of melanoma remains a daily challenge due to the increasing number of
cases and the lack of dermatologists. Thus, AI-assisted diagnosis is considered as a …
cases and the lack of dermatologists. Thus, AI-assisted diagnosis is considered as a …
Integration of digital twin and federated learning for securing vehicular internet of things
In the present era of advanced technology, the Internet of Things (IoT) plays a crucial role in
enabling smart connected environments. This includes various domains such as smart …
enabling smart connected environments. This includes various domains such as smart …
Secure and efficient privacy-preserving authentication scheme using cuckoo filter in remote patient monitoring network
With the ubiquitous advancement in smart medical devices and systems, the potential of
Remote Patient Monitoring (RPM) network is evolving in modern healthcare systems. The …
Remote Patient Monitoring (RPM) network is evolving in modern healthcare systems. The …
Dlacb: Deep learning based access control using blockchain
In general, deep learning models use to make informed decisions immensely. Developed
models are mainly based on centralized servers, which face several issues, including …
models are mainly based on centralized servers, which face several issues, including …
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
Big Data empowers the farming community with the information needed to optimize resource
usage, increase productivity, and enhance the sustainability of agricultural practices. The …
usage, increase productivity, and enhance the sustainability of agricultural practices. The …
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming
The agriculture sector is increasingly adopting innovative technologies to meet the growing
food demands of the global population. To optimize resource utilization and minimize crop …
food demands of the global population. To optimize resource utilization and minimize crop …