31 citations · 96 across the 13 of their papers we have counts for
7 papers · 1 filter
Interaction and Conflict Management in AI-assisted Operational Control Loops in 6G
Saeedeh Parsaeefard, Pooyan Habibi, Alberto Leon Garcia
This paper studies autonomous and AI-assisted control loops (ACLs) in the next generation of wireless networks in the lens of multi-agent environments. We will study the diverse in…
Missing Data Estimation in Temporal Multilayer Position-aware Graph Neural Network (TMP-GNN)
Bahareh Najafi, Saeedeh Parsaeefard, Alberto Leon-Garcia
GNNs have been proven to perform highly effective in various node-level, edge-level, and graph-level prediction tasks in several domains. Existing approaches mainly focus on static…
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control
Majid Raeis, Alberto Leon-Garcia
Traffic signal control is one of the most effective methods of traffic management in urban areas. In recent years, traffic control methods based on deep reinforcement learning (DRL…
Toward Efficient Transfer Learning in 6G
Saeedeh Parsaeefard, Alberto Leon-Garcia
6G networks will greatly expand the support for data-oriented, autonomous applications for over the top (OTT) and networking use cases. The success of these use cases will depend o…
Robust Federated Learning by Mixture of Experts
Saeedeh Parsaeefard, Sayed Ehsan Etesami, Alberto Leon Garcia
We present a novel weighted average model based on the mixture of experts (MoE) concept to provide robustness in Federated learning (FL) against the poisoned/corrupted/outdated loc…
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia
End-to-end delay is a critical attribute of quality of service (QoS) in application domains such as cloud computing and computer networks. This metric is particularly important in…