25 citations · 69 across the 23 of their papers we have counts for
26 papers
Leader Selection and Follower Association for UE-centric Distributed Learning in Future Wireless Networks
Saeedeh Parsaeefard, Sabine Roessel, Anousheh Gholami Ghavamabad +2
User equipment (UE) devices with high compute performance acting on data with dynamic and stochastic nature to train Artificial Intelligence/Machine Learning (AI/ML) models call fo…
A Deep Learning-Based Approach for Cell Outage Compensation in NOMA Networks
Elaheh Vaezpour, Layla Majzoobi, Mohammad Akbari +2
Cell outage compensation enables a network to react to a catastrophic cell failure quickly and serve users in the outage zone uninterruptedly. Utilizing the promising benefits of n…
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…
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…
Generalized ADMM in Distributed Learning via Variational Inequality
Saeedeh Parsaeefard, Alberto Leon Garcia
Due to the explosion in size and complexity of modern data sets and privacy concerns of data holders, it is increasingly important to be able to solve machine learning problems in…