2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 2 cited
Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks
Amin Shojaeighadikolaei, Zsolt Talata, Morteza Hashemi
The widespread adoption of electric vehicles (EVs) poses several challenges to power distribution networks and smart grid infrastructure due to the possibility of significantly inc…
cs.LG2023
Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach
Zhou Ni, Morteza Hashemi
Federated learning (FL) offers a decentralized training approach for machine learning models, prioritizing data privacy. However, the inherent heterogeneity in FL networks, arising…