Hardware-assisted machine learning in resource-constrained IoT environments for security: review and future prospective
G Kornaros - IEEE Access, 2022 - ieeexplore.ieee.org
As the Internet of Things (IoT) technology advances, billions of multidisciplinary smart
devices act in concert, rarely requiring human intervention, posing significant challenges in …
devices act in concert, rarely requiring human intervention, posing significant challenges in …
Big data resource management & networks: Taxonomy, survey, and future directions
Big Data (BD) platforms have a long tradition of leveraging trends and technologies from the
broader computer network and communication community. For several years, dedicated …
broader computer network and communication community. For several years, dedicated …
Optimizing federated learning in distributed industrial IoT: A multi-agent approach
In this paper, we aim to make the best joint decision of device selection and computing and
spectrum resource allocation for optimizing federated learning (FL) performance in …
spectrum resource allocation for optimizing federated learning (FL) performance in …
Edge intelligence: The confluence of edge computing and artificial intelligence
Along with the rapid developments in communication technologies and the surge in the use
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …
Com-DDPG: Task offloading based on multiagent reinforcement learning for information-communication-enhanced mobile edge computing in the internet of vehicles
The emergence of the Internet of Vehicles (IoV) introduces challenges regarding
computation-intensive and time-sensitive related services for data processing and …
computation-intensive and time-sensitive related services for data processing and …
Collaborative learning-based industrial IoT API recommendation for software-defined devices: the implicit knowledge discovery perspective
The industrial Internet of things (IIoT), a new computing mode in Industry 4.0, is deployed to
connect IoT devices and use communication technology to respond to control commands …
connect IoT devices and use communication technology to respond to control commands …
Auditing cache data integrity in the edge computing environment
Edge computing allows app vendors to deploy their applications and relevant data on
distributed edge servers to serve nearby users. Caching data on edge servers can minimize …
distributed edge servers to serve nearby users. Caching data on edge servers can minimize …
QoS prediction for service recommendation with features learning in mobile edge computing environment
In recent years, deep neural networks have achieved exciting results in a variety of tasks,
and many fields try to introduce neural network techniques. In mobile edge computing, there …
and many fields try to introduce neural network techniques. In mobile edge computing, there …
Distributed redundant placement for microservice-based applications at the edge
Multi-access edge computing (MEC) is booming as a promising paradigm to push the
computation and communication resources from cloud to the network edge to provide …
computation and communication resources from cloud to the network edge to provide …
Dynamic bargain game theory in the internet of things for data trustworthiness
Smart home and smart building systems based on the Internet of Things (IoT) in smart cities
currently suffer from security issues. In particular, data trustworthiness and efficiency are two …
currently suffer from security issues. In particular, data trustworthiness and efficiency are two …