2 papers
eess.SY2024
Latency and Energy Minimization in NOMA-Assisted MEC Network: A Federated Deep Reinforcement Learning Approach
Arian Ahmadi, Anders Høst-Madsen, Zixiang Xiong
Multi-access edge computing (MEC) is seen as a vital component of forthcoming 6G wireless networks, aiming to support emerging applications that demand high service reliability and…
cs.LG2023
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles
Jiacong Xu, Riley Kilfoyle, Zixiang Xiong +1
Machine learning (ML) applications to time series energy utilization forecasting problems are a challenging assignment due to a variety of factors. Chief among these is the non-hom…