[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
Federated learning for edge computing: A survey
New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …
network, allowing edge devices to train simple models that can then be deployed in practice …
Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization
Widespread proliferation of interconnected healthcare equipment, accompanying software,
operating systems, and networks in the Internet of Medical Things (IoMT) raises the risk of …
operating systems, and networks in the Internet of Medical Things (IoMT) raises the risk of …
Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare
Background and objectives Skin conditions in humans can be challenging to diagnose. Skin
cancer manifests itself without warning. In the future, these illnesses, which have been an …
cancer manifests itself without warning. In the future, these illnesses, which have been an …
Load balancing and service discovery using Docker Swarm for microservice based big data applications
Big Data applications require extensive resources and environments to store, process and
analyze this colossal collection of data in a distributed manner. Containerization with cloud …
analyze this colossal collection of data in a distributed manner. Containerization with cloud …
Security of federated learning for cloud‐edge intelligence collaborative computing
J Yang, J Zheng, Z Zhang, QI Chen… - … Journal of Intelligent …, 2022 - Wiley Online Library
Federated Learning (FL) is one of the key technologies to solve privacy protection for cloud‐
edge intelligent collaborative computing, and its security and privacy issues have attracted …
edge intelligent collaborative computing, and its security and privacy issues have attracted …
An efficient hybrid QHCP-ABE model to improve cloud data integrity and confidentiality
Cloud computational service is one of the renowned services utilized by employees,
employers, and organizations collaboratively. It is accountable for data management and …
employers, and organizations collaboratively. It is accountable for data management and …
A comprehensive survey on privacy-preserving techniques in federated recommendation systems
Big data is a rapidly growing field, and new developments are constantly emerging to
address various challenges. One such development is the use of federated learning for …
address various challenges. One such development is the use of federated learning for …
Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey
Advancements in wearable medical devices using the IoT technology are shaping the
modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT) …
modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT) …
RAMi: A new real-time Internet of Medical Things architecture for elderly patient monitoring
O Debauche, JB Nkamla Penka, S Mahmoudi… - Information, 2022 - mdpi.com
The aging of the world's population, the willingness of elderly to remain independent, and
the recent COVID-19 pandemic have demonstrated the urgent need for home-based …
the recent COVID-19 pandemic have demonstrated the urgent need for home-based …