2 citations · 4 across the 3 of their papers we have counts for
4 papers
FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning
Chaimaa Medjadji, Sadi Alawadi, Feras M. Awaysheh +3
Federated Learning (FL) enables collaborative model training across decentralized clients while preserving data privacy by keeping raw data local. However, FL suffers from signific…
From Requirements to Test Cases: An NLP-Based Approach for High-Performance ECU Test Case Automation
Nikitha Medeshetty, Ahmad Nauman Ghazi, Sadi Alawadi +1
Automating test case specification generation is vital for improving the efficiency and accuracy of software testing, particularly in complex systems like high-performance Electron…
SHEDAD: SNN-Enhanced District Heating Anomaly Detection for Urban Substations
Jonne van Dreven, Abbas Cheddad, Sadi Alawadi +3
District Heating (DH) systems are essential for energy-efficient urban heating. However, despite the advancements in automated fault detection and diagnosis (FDD), DH still faces c…
FedQAS: Privacy-aware machine reading comprehension with federated learning
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor +1
Machine reading comprehension (MRC) of text data is one important task in Natural Language Understanding. It is a complex NLP problem with a lot of ongoing research fueled by the r…