The Internet of Things (IoT) offers the ability to analyze and predict our surroundings through sensor networks at the network edge. To facilitate this predictive functionality, Edge Computing (EC) applications are developed by considering: power consumption, network lifetime and quality of context inference. Humongous contextual data from sensors provide data scientists better knowledge extraction, albeit coming at the expense of holistic data transfer that threatens the network feasibility and lifetime. To cope with this, collaborative machine learning is applied to EC devices to (i) extract the statistical relationships and (ii) construct regression (predictive) models to maximize communication efficiency. In this paper, we p...
With the increasing ubiquity of edge devices, such as the Internet of Things (IoT) and mobile device...
Internet of Things (IoT) have revolutionized various fields by enabling the processing of vast amoun...
Bringing the success of modern machine learning (ML) techniques to mobile devices can enablemany new...
The Internet of Things (IoT) offers the ability to analyze and predict our surroundings through sen...
We rest on the edge computing paradigm where pushing processing and inference to the edge of the Int...
Rapid growth in numbers of connected devices, including sensors, mobile, wearable, and other Interne...
Rapid growth in numbers of connected devices including sensors, mobile, wearable, and other Internet...
The Internet of Things has grown by an enormous amount of devices over the later years. With the upc...
Edge Computing is becoming more and more essential for the Industrial Internet of Things (IIoT) for ...
In Internet of Things (IoT) environments, networks of sensors, actuators, and computing devices are ...
The number of Internet of Things (IoT) edge devices are exponentially on the rise that have both com...
Sensors, wearables, mobile and other Internet of Thing (IoT) devices are becoming increasingly integ...
We introduce an edge-centric parametric predictive analytics methodology, which contributes to real-...
We focus on Internet of Things (IoT) environments where a network of sensing and computing devices a...
Techniques are described that combine machine learning with an edge network that includes IoT device...
With the increasing ubiquity of edge devices, such as the Internet of Things (IoT) and mobile device...
Internet of Things (IoT) have revolutionized various fields by enabling the processing of vast amoun...
Bringing the success of modern machine learning (ML) techniques to mobile devices can enablemany new...
The Internet of Things (IoT) offers the ability to analyze and predict our surroundings through sen...
We rest on the edge computing paradigm where pushing processing and inference to the edge of the Int...
Rapid growth in numbers of connected devices, including sensors, mobile, wearable, and other Interne...
Rapid growth in numbers of connected devices including sensors, mobile, wearable, and other Internet...
The Internet of Things has grown by an enormous amount of devices over the later years. With the upc...
Edge Computing is becoming more and more essential for the Industrial Internet of Things (IIoT) for ...
In Internet of Things (IoT) environments, networks of sensors, actuators, and computing devices are ...
The number of Internet of Things (IoT) edge devices are exponentially on the rise that have both com...
Sensors, wearables, mobile and other Internet of Thing (IoT) devices are becoming increasingly integ...
We introduce an edge-centric parametric predictive analytics methodology, which contributes to real-...
We focus on Internet of Things (IoT) environments where a network of sensing and computing devices a...
Techniques are described that combine machine learning with an edge network that includes IoT device...
With the increasing ubiquity of edge devices, such as the Internet of Things (IoT) and mobile device...
Internet of Things (IoT) have revolutionized various fields by enabling the processing of vast amoun...
Bringing the success of modern machine learning (ML) techniques to mobile devices can enablemany new...