Sensor cloud frameworks: state-of-the-art, taxonomy, and research issues
RMA Haseeb-Ur-Rehman, M Liaqat… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
In recent times, Wireless Sensor Network (WSN) technology has received significant
attention owing to its numerous applications in various mission critical services, such as …
attention owing to its numerous applications in various mission critical services, such as …
LoRaWAN: state of the art, challenges, protocols and research issues
Low Power Wide Area Network (LPWAN) gaining much attention in the industry as well as in
academia due to its ability to communicate over the long-range. Due to this reason, LPWAN …
academia due to its ability to communicate over the long-range. Due to this reason, LPWAN …
[Retracted] Federated Deep Learning Approaches for the Privacy and Security of IoT Systems
MB Alazzam, F Alassery… - … and Mobile Computing, 2022 - Wiley Online Library
Using federated learning, which is a distributed machine learning approach, a machine
learning model can train on a distributed data set without having to transfer any data …
learning model can train on a distributed data set without having to transfer any data …
[HTML][HTML] Federated IoT attack detection using decentralized edge data
Abstract Internet of Things (IoT) devices are mass-produced and designed for different
applications, ranging from monitoring of the environment to on-demand electrical switches …
applications, ranging from monitoring of the environment to on-demand electrical switches …
[Retracted] Approaches to Federated Computing for the Protection of Patient Privacy and Security Using Medical Applications
Computing model may train on a distributed dataset using Medical Applications, which is a
distributed computing technique. Instead of a centralised server, the model trains on device …
distributed computing technique. Instead of a centralised server, the model trains on device …
[PDF][PDF] Research Article Federated Deep Learning Approaches for the Privacy and Security of IoT Systems
Using federated learning, which is a distributed machine learning approach, a machine
learning model can train on a distributed data set without having to transfer any data …
learning model can train on a distributed data set without having to transfer any data …
[PDF][PDF] Research Article Approaches to Federated Computing for the Protection of Patient Privacy and Security Using Medical Applications
Computing model may train on a distributed dataset using Medical Applications, which is a
distributed computing technique. Instead of a centralised server, the model trains on device …
distributed computing technique. Instead of a centralised server, the model trains on device …
[PDF][PDF] Machine Learning with Applications
C Regan, M Nasajpour, RM Parizi, S Pouriyeh… - researchgate.net
ABSTRACT Internet of Things (IoT) devices are mass-produced and designed for different
applications, ranging from monitoring of the environment to on-demand electrical switches …
applications, ranging from monitoring of the environment to on-demand electrical switches …
A FEDERATED DEEP AUTOENCODER FOR DETECTING IOT CYBER ATTACKS
CM Regan - 2020 - digitalcommons.kennesaw.edu
Abstract Internet of Things (IoT) devices are mass-produced and rapidly released to the
public in a rough state. IoT devices are produced by various companies satisfying various …
public in a rough state. IoT devices are produced by various companies satisfying various …