Cooperative heterogeneous multi-robot systems: A survey
The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …
{eSGD}: Communication efficient distributed deep learning on the edge
Training machine learning model on IoT device is a natural trend due to the growing
computation power and the great ability to collect various data of modern IoT de-vice. In this …
computation power and the great ability to collect various data of modern IoT de-vice. In this …
Distributed CNN inference on resource-constrained UAVs for surveillance systems: Design and optimization
Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to
their ability to cover large areas and access difficult and hazardous target zones, which is …
their ability to cover large areas and access difficult and hazardous target zones, which is …
: An Adaptive O rchestration Platform for H ybrid Dataflows across C loud and E dge
Abstract The Internet of Things (IoT) is offering unprecedented observational data that are
used for managing Smart City utilities. Edge and Fog gateway devices are an integral part of …
used for managing Smart City utilities. Edge and Fog gateway devices are an integral part of …
Partitioning convolutional neural networks to maximize the inference rate on constrained IoT devices
Billions of devices will compose the IoT system in the next few years, generating a huge
amount of data. We can use fog computing to process these data, considering that there is …
amount of data. We can use fog computing to process these data, considering that there is …
The network as a computer: A framework for distributed computing over iot mesh networks
Ultradense Internet of Things (IoT) mesh networks and machine-to-machine
communications herald an enormous opportunity for new computing paradigms and are …
communications herald an enormous opportunity for new computing paradigms and are …
Fog computing on constrained devices: Paving the way for the future iot
In the long term, the Internet of Things (IoT) is expected to become an integral part of
people's daily lives. In light of this technological advancement, an ever-growing number of …
people's daily lives. In light of this technological advancement, an ever-growing number of …
Virtualizing AI at the distributed edge towards intelligent IoT applications
Several Internet of Things (IoT) applications are booming which rely on advanced artificial
intelligence (AI) and, in particular, machine learning (ML) algorithms to assist the users and …
intelligence (AI) and, in particular, machine learning (ML) algorithms to assist the users and …
DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure
Deep learning has shown tremendous results on various machine learning tasks, but the
nature of the problems being tackled and the size of state-of-the-art deep neural networks …
nature of the problems being tackled and the size of state-of-the-art deep neural networks …
Sensor fusion for robot control through deep reinforcement learning
Deep reinforcement learning is becoming increasingly popular for robot control algorithms,
with the aim for a robot to self-learn useful feature representations from unstructured sensory …
with the aim for a robot to self-learn useful feature representations from unstructured sensory …