27 citations · 48 across the 44 of their papers we have counts for
6 papers · 1 filter
Unsupervised Anomaly Appraisal of Cleft Faces Using a StyleGAN2-based Model Adaptation Technique
Abdullah Hayajneh, Mohammad Shaqfeh, Erchin Serpedin +1
This paper presents a novel machine learning framework to consistently detect, localize and rate congenital cleft lip anomalies in human faces. The goal is to provide a universal,…
Multi-Task and Transfer Learning for Federated Learning Applications
Cihat Keçeci, Mohammad Shaqfeh, Hayat Mbayed +1
Federated learning enables many applications benefiting distributed and private datasets of a large number of potential data-holding clients. However, different clients usually hav…
Infinite Impulse Response Graph Neural Networks for Cyberattack Localization in Smart Grids
Osman Boyaci, M. Rasoul Narimani, Katherine Davis +1
This study employs Infinite Impulse Response (IIR) Graph Neural Networks (GNN) to efficiently model the inherent graph network structure of the smart grid data to address the cyber…
Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning
Cihat Keçeci, Mohammad Shaqfeh, Fawaz Al-Qahtani +2
This paper proposes using communication pipelining to enhance the wireless spectrum utilization efficiency and convergence speed of federated learning in mobile edge computing appl…
Spatio-Temporal Failure Propagation in Cyber-Physical Power Systems
Osman Boyaci, M. Rasoul Narimani, Katherine Davis +1
Cascading failure in power systems is triggered by a small perturbation that leads to a sequence of failures spread through the system. The interconnection between different compon…
Generating Connected, Simple, and Realistic Cyber Graphs for Smart Grids
Osman Boyaci, M. Rasoul Narimani, Katherine Davis +1
Smart grids integrate communication systems with power networks to enable power grids operation and command through real-time data collection and control signals. Designing, analyz…