20 citations · 38 across the 5 of their papers we have counts for
6 papers
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoT
Jingjing Zheng, Kai Li, Naram Mhaisen +3
Federated learning (FL) has been increasingly considered to preserve data training privacy from eavesdropping attacks in mobile edge computing-based Internet of Thing (EdgeIoT). On…
Design and Implementation of Secret Key Agreement for Platoon-based Vehicular Cyber-Physical Systems
Kai Li, Wei Ni, Yousef Emami +4
In platoon-based vehicular cyber-physical system (PVCPS), a lead vehicle that is responsible for managing the platoon's moving directions and velocity periodically disseminates con…
On-board Deep Q-Network for UAV-assisted Online Power Transfer and Data Collection
Kai Li, Wei Ni, Eduardo Tovar
Unmanned Aerial Vehicles (UAVs) with Microwave Power Transfer (MPT) capability provide a practical means to deploy a large number of wireless powered sensing devices into areas wit…
Towards a Realistic Simulation Framework for Vehicular Platooning Applications
Bruno Vieira, Ricardo Severino, Anis Koubaa +1
Cooperative vehicle platooning applications increasingly demand realistic simulation tools to ease their validation and to bridge the gap between development and real-world deploym…
LCD: Low Latency Command Dissemination for A Platoon of Vehicles
Kai Li, Wei Ni, Eduardo Tovar +1
In a vehicular platoon, a lead vehicle that is responsible for managing the platoon's moving directions and velocity periodically disseminates control commands to following vehicle…
Mixed-criticality Scheduling with Dynamic Redistribution of Shared Cache
Muhammad Ali Awan, Konstantinos Bletsas, Pedro F. Souto +2
The design of mixed-criticality systems often involvespainful tradeoffs between safety guarantees and performance.However, the use of more detailed architectural modelsin the desig…