43 citations · 67 across the 7 of their papers we have counts for
5 papers · 1 filter
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Fatemeh Dehrouyeh, Ibrahim Shaer, Soodeh Nikan +2
With the growing need for real-time processing on IoT devices, optimizing machine learning (ML) models' size, latency, and computational efficiency is essential. This paper investi…
Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environments
Ibrahim Shaer, Soodeh Nikan, Abdallah Shami
The hyper-parameter optimization (HPO) process is imperative for finding the best-performing Convolutional Neural Networks (CNNs). The automation process of HPO is characterized by…
CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment
Ibrahim Shaer, Abdallah Shami
The Federated Learning (FL) paradigm faces several challenges that limit its application in real-world environments. These challenges include the local models' architecture heterog…
Sound Event Classification in an Industrial Environment: Pipe Leakage Detection Use Case
Ibrahim Shaer, Abdallah Shami
In this work, a multi-stage Machine Learning (ML) pipeline is proposed for pipe leakage detection in an industrial environment. As opposed to other industrial and urban environment…
Concept Drift Detection in Federated Networked Systems
Dimitrios Michael Manias, Ibrahim Shaer, Li Yang +1
As next-generation networks materialize, increasing levels of intelligence are required. Federated Learning has been identified as a key enabling technology of intelligent and dist…