[HTML][HTML] Federated learning in edge computing: a systematic survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …
When machine learning meets privacy in 6G: A survey
The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
Adaptive digital twin and multiagent deep reinforcement learning for vehicular edge computing and networks
Technological advancements of urban informatics and vehicular intelligence have enabled
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …
Data fusion approach for collaborative anomaly intrusion detection in blockchain-based systems
Blockchain technology is rapidly changing the transaction behavior and efficiency of
businesses in recent years. Data privacy and system reliability are critical issues that is …
businesses in recent years. Data privacy and system reliability are critical issues that is …
Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …
Multi-agent deep reinforcement learning for computation offloading and interference coordination in small cell networks
X Huang, S Leng, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Integrating mobile edge computing (MEC) with small cell networks has been conceived as a
promising solution to provide pervasive computing services. However, the interactions …
promising solution to provide pervasive computing services. However, the interactions …
A survey of collaborative machine learning using 5G vehicular communications
SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …
communications allow AVs to collaborate on solving common autonomous driving tasks …
Vehicular intelligence in 6G: Networking, communications, and computing
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …
predict that 6G will be the key driving force for information interaction and social life after …
A review on the edge caching mechanisms in the mobile edge computing: A social-aware perspective
M Reiss-Mirzaei, M Ghobaei-Arani, L Esmaeili - Internet of Things, 2023 - Elsevier
In recent years, we have witnessed the rapid development of the 5G technology, the
computing capabilities of smartphones, and the use of these technologies and types of smart …
computing capabilities of smartphones, and the use of these technologies and types of smart …
[HTML][HTML] A new technology perspective of the Metaverse: Its essence, framework and challenges
The Metaverse depicts a parallel digitalized world where virtuality and reality are fused. It
has economic and social systems like those in the real world and provides intelligent …
has economic and social systems like those in the real world and provides intelligent …