Federated learning for internet of things: Recent advances, taxonomy, and open challenges
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithm for both network and application management. However, given the presence of …
algorithm for both network and application management. However, given the presence of …
Edge-computing-enabled smart cities: A comprehensive survey
Recent years have disclosed a remarkable proliferation of compute-intensive applications in
smart cities. Such applications continuously generate enormous amounts of data which …
smart cities. Such applications continuously generate enormous amounts of data which …
A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
Edge networking is a complex and dynamic computing paradigm that aims to push cloud re-
sources closer to the end user improving responsiveness and reducing backhaul traffic …
sources closer to the end user improving responsiveness and reducing backhaul traffic …
Edge caching based on collaborative filtering for heterogeneous ICN-IoT applications
The substantial advancements offered by the edge computing has indicated serious
evolutionary improvements for the internet of things (IoT) technology. The rigid design …
evolutionary improvements for the internet of things (IoT) technology. The rigid design …
Management and orchestration of edge computing for IoT: A comprehensive survey
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …
applications in the past decades, the traditional cloud network architecture becomes unable …
User-aware and flexible proactive caching using LSTM and ensemble learning in IoT-MEC networks
To meet the stringent demands of emerging Internet-of-Things (IoT) applications, such as
smart home, smart city, and virtual reality in 5G/6G IoT networks, edge content caching for …
smart home, smart city, and virtual reality in 5G/6G IoT networks, edge content caching for …
Federated learning and next generation wireless communications: A survey on bidirectional relationship
In order to meet the extremely heterogeneous requirements of the next generation wireless
communication networks, research community is increasingly dependent on using machine …
communication networks, research community is increasingly dependent on using machine …
[HTML][HTML] Leveraging artificial intelligence and mutual authentication to optimize content caching in edge data centers
Available online Edge data centers are designed to meet the stringent QoE requirements of
delay-sensitive and computationally intensive services in Content Delivery Network (CDN) …
delay-sensitive and computationally intensive services in Content Delivery Network (CDN) …
Deep learning model for content aware caching at MEC servers
In recent years, mobile data traffic has increased enormously with an increase of mobile and
smart devices. The global mobile data traffic is set to increase manifold in the coming years …
smart devices. The global mobile data traffic is set to increase manifold in the coming years …