Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning
Cooperative perception plays a vital role in extending a vehicle’s sensing range beyond its line-of-sight. However, exchanging raw sensory data under limited […]
Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors
Social distancing is a critical tool for mitigating disease transmission, particularly in crowded indoor spaces. In this paper, we contribute by assessing […]
Edge Intelligence
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data […]
A High-Level Approach for Energy Efficiency Improvement of FPGAs by Voltage Trimming
Chip manufacturers define voltage margins on top of the “best-case” operational voltage of their chips to ensure reliable functioning in the worst […]
iMiGUE
We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE). Different […]
Federated Learning with Correlated Data
While information delivery in industrial Internet of things demands reliability and latency guarantees, the freshness of the controller’s available information, measured by […]
Towards Real-time Learning for Edge-Cloud Continuum with Vehicular Computing
Sensor-driven IoT systems are well-known for their capacity to accelerate massive amounts of data in a comparatively short period of time. To […]
Fast MIMO Beamforming via Deep Reinforcement Learning for High Mobility mmWave Connectivity
Future 5G/6G wireless networks will be increasingly using millimeter waves (mmWaves) where fast and efficient beamforming is vital for providing continuous service […]
Federated Learning-Based Content Popularity Prediction in Fog Radio Access Networks
In this paper the content popularity prediction problem in fog radio access networks (F-RANs) is investigated. In order to obtain accurate prediction […]
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
This paper investigates an air-ground integrated multi-access edge computing system which is deployed by an infrastructure provider (InP). Under a business agreement […]