3 citations · 3 across the 4 of their papers we have counts for
4 papers
Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification
Mahmoud Nazzal, Nura Aljaafari, Ahmed Sawalmeh +8
Federated learning enables multiple clients to collaboratively contribute to the learning of a global model orchestrated by a central server. This learning scheme promotes clients'…
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge
Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah +1
In this paper, we propose IMA-GNN as an In-Memory Accelerator for centralized and decentralized Graph Neural Network inference, explore its potential in both settings and provide a…
Estimating Sparsity Level for Enabling Compressive Sensing of Wireless Channels and Spectra in 5G and Beyond
Mahmoud Nazzal, Mehmet Ali Aygul, Huseyin Arslan
Applying compressive sensing (CS) allows for sub-Nyquist sampling in several application areas in 5G and beyond. This reduces the associated training, feedback, and computation ove…
Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO
Mehmet Ali Aygul, Mahmoud Nazzal, Huseyin Arslan
Millimeter-wave (mmWave) massive multiple-input-multiple-output (mMIMO) is reported as a key enabler in the fifth-generation communication and beyond. It is customary to use a lens…