A systematic analysis of enhancing cyber security using deep learning for cyber physical systems
In this current era, cyber-physical systems (CPSs) have gained concentrated consideration
in various fields because of their emergent applications. Though the robust dependence on …
in various fields because of their emergent applications. Though the robust dependence on …
[HTML][HTML] Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT
The exponential proliferation of wearable medical apparatus and healthcare information
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
Deep reinforcement learning based energy consumption minimization for intelligent reflecting surfaces assisted D2D users underlaying UAV network
Device-to-device communication (D2D-C) is a leading-edge technique in 5G and
forthcoming 6G networks due to its benefits for enhanced spectrum efficiency and energy …
forthcoming 6G networks due to its benefits for enhanced spectrum efficiency and energy …
A hybrid secure resource allocation and trajectory optimization approach for mobile edge computing using federated learning based on WEB 3.0
The use of unmanned aerial vehicles (UAVs) in Internet-of-Things (IoT) has grown, but
security for UAV communications still a challenge due to the distributed nature of line-of …
security for UAV communications still a challenge due to the distributed nature of line-of …
A Hybrid Task Offloading and Resource Allocation Approach For Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning For …
Federated learning (FL) is proposed as a different approach for distributed learning on the
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …
Deep reinforcement learning based rate enhancement scheme for RIS assisted mobile users underlaying UAV
The fifth generation (5G) network enabled communication between devices has emerged as
a state-of-the-art technology. In the era of proliferating smart devices and intelligent wireless …
a state-of-the-art technology. In the era of proliferating smart devices and intelligent wireless …
Federated learning based trajectory optimization for UAV enabled MEC
A Nehra, P Consul, I Budhiraja, G Kaur… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
We present a moving mobile edge computing architecture in which unmanned aerial
vehicles (UAV) serve as an equipment, providing computational power and allowing task …
vehicles (UAV) serve as an equipment, providing computational power and allowing task …
SFL-TUM: Energy efficient SFRL method for large scale AI model's task offloading in UAV-assisted MEC networks
The convergence of mobile edge computing (MEC) network with unmanned aerial vehicles
(UAVs) presents an auspicious opportunity to revolutionize wireless communication and …
(UAVs) presents an auspicious opportunity to revolutionize wireless communication and …
An innovative multi-agent approach for robust cyber-physical systems using vertical federated learning
Federated learning presents a compelling approach to training artificial intelligence systems
in decentralized settings, prioritizing data safety over traditional centralised training …
in decentralized settings, prioritizing data safety over traditional centralised training …
Quantum Computing Integrated Patterns for Real-Time Cryptography in Assorted Domains
Quantum computers use quantum-mechanical phenomena for knowledge manipulation and
depend on quantum bits or qubits. A qubit can be created in several different ways, and out …
depend on quantum bits or qubits. A qubit can be created in several different ways, and out …