A Hybrid Task Offloading and Resource Allocation Approach For Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning For …
P Consul, I Budhiraja, D Garg, N Kumar… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
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 …
SFL-TUM: Energy efficient SFRL method for large scale AI model's task offloading in UAV-assisted MEC networks
P Consul, I Budhiraja, D Garg, S Garg… - Vehicular …, 2024 - Elsevier
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 …
Delay Aware 6TiSCH IIoT Networks for Energy Efficient Data Transmission by Adopting Federated Learning and Edge Computing
A Rafiq, M Wei, P Wang, DK Jain - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Standardizing the Industrial Internet of Things (IIoT) with 6TiSCH enables the IIoT nodes to
utilize low power with high reliability. It ensures the allocation of resources for IIoT nodes …
utilize low power with high reliability. It ensures the allocation of resources for IIoT nodes …
On the Problems of Drone Formation and Light Shows
GE Jan, T Lei, CC Sun, ZY You… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper addresses the challenges associated with drone formation and light shows,
presenting an algorithm with a complexity of O (MNLO) tailored for drone light show …
presenting an algorithm with a complexity of O (MNLO) tailored for drone light show …