Convergence of edge computing and deep learning: A comprehensive survey
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …
massive amounts of data, and ever-increasing computing power is driving the core of …
[HTML][HTML] All one needs to know about fog computing and related edge computing paradigms: A complete survey
Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …
we expect rapid growth in the number of connected devices. IoT is expected to connect …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
Couper: Dnn model slicing for visual analytics containers at the edge
Applications incorporating DNN-based visual analytics are growing in demand. This class of
data-intensive and latency-sensitive workloads has an opportunity to benefit from the …
data-intensive and latency-sensitive workloads has an opportunity to benefit from the …
Learning-in-the-fog (LiFo): Deep learning meets fog computing for the minimum-energy distributed early-exit of inference in delay-critical IoT realms
E Baccarelli, M Scarpiniti, A Momenzadeh… - IEEE …, 2021 - ieeexplore.ieee.org
Fog Computing (FC) and Conditional Deep Neural Networks (CDDNs) with early exits are
two emerging paradigms which, up to now, are evolving in a standing-alone fashion …
two emerging paradigms which, up to now, are evolving in a standing-alone fashion …
[HTML][HTML] Resource management at the network edge for federated learning
Federated learning has been explored as a promising solution for training machine learning
models at the network edge, without sharing private user data. With limited resources at the …
models at the network edge, without sharing private user data. With limited resources at the …
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
The explosion of data volumes generated by an increasing number of applications is
strongly impacting the evolution of distributed digital infrastructures for data analytics and …
strongly impacting the evolution of distributed digital infrastructures for data analytics and …
Sharing and caring of data at the edge
Edge computing is an emerging computing paradigm where data is generated and
processed in the field using distributed computing devices. Many applications such as real …
processed in the field using distributed computing devices. Many applications such as real …
Pangea: an MLOps tool for automatically generating infrastructure and deploying analytic pipelines in edge, fog and cloud layers
Development and operations (DevOps), artificial intelligence (AI), big data and edge–fog–
cloud are disruptive technologies that may produce a radical transformation of the industry …
cloud are disruptive technologies that may produce a radical transformation of the industry …
Ai on the edge: Architectural alternatives
Since the advent of mobile computing and IoT, a large amount of data is distributed around
the world. Companies are increasingly experimenting with innovative ways of implementing …
the world. Companies are increasingly experimenting with innovative ways of implementing …