[HTML][HTML] Edge AI: a survey
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …
refers to the practice of doing AI computations near the users at the network's edge, instead …
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 …
Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …
architecture, which can empower user equipments (UEs) with computation and energy …
Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …
that require a real-time response and low latency have emerged. Fog computing has …
Computation offloading and resource allocation in MEC-enabled integrated aerial-terrestrial vehicular networks: A reinforcement learning approach
As important services of the future sixth-generation (6G) wireless networks, vehicular
communication and mobile edge computing (MEC) have received considerable interest in …
communication and mobile edge computing (MEC) have received considerable interest in …
Artificial intelligence-driven mechanism for edge computing-based industrial applications
AH Sodhro, S Pirbhulal… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Due to various challenging issues such as, computational complexity and more delay in
cloud computing, edge computing has overtaken the conventional process by efficiently and …
cloud computing, edge computing has overtaken the conventional process by efficiently and …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
Distributed incentives for intelligent offloading and resource allocation in digital twin driven smart industry
Mobile edge computing is one of the key enabling technologies of smart industry solutions,
providing agile and ubiquitous services for mobile devices (MDs) through offloading latency …
providing agile and ubiquitous services for mobile devices (MDs) through offloading latency …
Towards 5G-enabled self adaptive green and reliable communication in intelligent transportation system
Fifth generation (5G) technologies have become the center of attention in managing and
monitoring high-speed transportation system effectively with the intelligent and self-adaptive …
monitoring high-speed transportation system effectively with the intelligent and self-adaptive …
When machine learning meets network management and orchestration in Edge-based networking paradigms
A Shahraki, T Ohlenforst, F Kreyß - Journal of Network and Computer …, 2023 - Elsevier
Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …
decade and related challenges like Big Data and data processing delay, new paradigms …