[HTML][HTML] Asynchronous federated learning on heterogeneous devices: A survey
Federated learning (FL) is a kind of distributed machine learning framework, where the
global model is generated on the centralized aggregation server based on the parameters of …
global model is generated on the centralized aggregation server based on the parameters of …
[HTML][HTML] Digital twin—Cyber replica of physical things: Architecture, applications and future research directions
The Internet of Things (IoT) connects massive smart devices to collect big data and carry out
the monitoring and control of numerous things in cyber-physical systems (CPS). By …
the monitoring and control of numerous things in cyber-physical systems (CPS). By …
[HTML][HTML] Towards asynchronous federated learning for heterogeneous edge-powered internet of things
The advancement of the Internet of Things (IoT) brings new opportunities for collecting real-
time data and deploying machine learning models. Nonetheless, an individual IoT device …
time data and deploying machine learning models. Nonetheless, an individual IoT device …
Machine learning for security and the internet of things: the good, the bad, and the ugly
The advancement of the Internet of Things (IoT) has allowed for unprecedented data
collection, automation, and remote sensing and actuation, transforming autonomous …
collection, automation, and remote sensing and actuation, transforming autonomous …
[HTML][HTML] A survey of deep reinforcement learning application in 5G and beyond network slicing and virtualization
Abstract The 5th Generation (5G) and beyond networks are expected to offer huge
throughputs, connect large number of devices, support low latency and large numbers of …
throughputs, connect large number of devices, support low latency and large numbers of …
Recent advances in artificial intelligence for wireless internet of things and cyber–physical systems: A comprehensive survey
BA Salau, A Rawal, DB Rawat - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Advances in artificial intelligence (AI) and wireless technology are driving forward the large
deployment of interconnected smart technologies that constitute cyber–physical systems …
deployment of interconnected smart technologies that constitute cyber–physical systems …
Edge intelligence for data handling and predictive maintenance in IIOT
The use of IoT has become pervasive and IoT devices are common in many domains.
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …
Zero knowledge clustering based adversarial mitigation in heterogeneous federated learning
The simultaneous development of deep learning techniques and Internet of Things
(IoT)/Cyber-physical Systems (CPS) technologies has afforded untold possibilities for …
(IoT)/Cyber-physical Systems (CPS) technologies has afforded untold possibilities for …
Toward deep transfer learning in industrial internet of things
Machine learning techniques have been widely adopted to assist in data analysis in a
variety of Internet of Things (IoT) systems. To enable flexible use of trained learning models …
variety of Internet of Things (IoT) systems. To enable flexible use of trained learning models …
Survey of graph neural networks and applications
The advance of deep learning has shown great potential in applications (speech, image,
and video classification). In these applications, deep learning models are trained by …
and video classification). In these applications, deep learning models are trained by …