A survey on federated learning for resource-constrained IoT devices
Federated learning (FL) is a distributed machine learning strategy that generates a global
model by learning from multiple decentralized edge clients. FL enables on-device training …
model by learning from multiple decentralized edge clients. FL enables on-device training …
Blockchain-based federated learning: A comprehensive survey
With the technological advances in machine learning, effective ways are available to
process the huge amount of data generated in real life. However, issues of privacy and …
process the huge amount of data generated in real life. However, issues of privacy and …
Digital twin networks: A survey
Digital twin network (DTN) is an emerging network that utilizes digital twin (DT) technology to
create the virtual twins of physical objects. DTN realizes co-evolution between physical and …
create the virtual twins of physical objects. DTN realizes co-evolution between physical and …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
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 …
Blockchain and federated learning for collaborative intrusion detection in vehicular edge computing
H Liu, S Zhang, P Zhang, X Zhou… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The vehicular networks constructed by interconnected vehicles and transportation
infrastructure are vulnerable to cyber-intrusions due to the expanded use of software and the …
infrastructure are vulnerable to cyber-intrusions due to the expanded use of software and the …
Adaptive edge association for wireless digital twin networks in 6G
Y Lu, S Maharjan, Y Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Sixth-generation (6G) is envisioned to be characterized by ubiquitous connectivity,
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …
Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids
Digital twin (DT) provides accurate guidance for multidimensional resource scheduling in 5G
edge computing-empowered distribution grids by establishing a digital representation of the …
edge computing-empowered distribution grids by establishing a digital representation of the …
Dynamic digital twin and distributed incentives for resource allocation in aerial-assisted internet of vehicles
W Sun, P Wang, N Xu, G Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Vehicles (IoV), when empowered by aerial communications, provides vehicles
with seamless connections and proximate computing services. The unpredictable network …
with seamless connections and proximate computing services. The unpredictable network …
Digital twin empowered content caching in social-aware vehicular edge networks
K Zhang, J Cao, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rapid proliferation of smart vehicles along with the advent of powerful applications bring
stringent requirements on massive content delivery. Although vehicular edge caching can …
stringent requirements on massive content delivery. Although vehicular edge caching can …