11 papers
Semantic Communications in the THz Band
Fatima Ismail, Hadi Sarieddeen, Jihad Fahs
Semantic and terahertz (THz)-band communications are algorithmic and spectral enablers of future wireless networks. This work investigates deep learning-based semantic communicatio…
Density Functions and Random Number Generators of -Stable Distributions
Wael Tabbara, Sharafeddine Sharafeddine, Ahmad El-Hajj +2
Heavy-tailed distributions are increasingly found to better fit empirical data in engineering, finance, physics, network science, and related fields. Among them, -stable distri…
Symbol Error Analysis of Linear Receivers in Terahertz Channels under Channel-Noise Dependence
Almutasem Bellah Enad, Jihad Fahs, Hadi Sarieddeen +2
This paper develops a comprehensive framework for the performance analysis of linear detectors, namely zero-forcing (ZF) and minimum mean-square error (MMSE), under diverse teraher…
Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels
Anthony Ayli, Khalil Harris, Jihad Fahs +1
Homomorphic encryption (HE) enables privacy-preserving aggregation in federated learning (FL) by allowing the server to operate on encrypted data without decryption. Existing HE-ov…
Heavy-Tailed Principal Component Analysis
Mario Sayde, Christopher Khater, Jihad Fahs +1
Principal Component Analysis (PCA) is a cornerstone of dimensionality reduction, yet its classical formulation relies critically on second-order moments and is therefore fragile in…
A Framework for Robust Lossy Compression of Heavy-Tailed Sources
Karim Ezzeddine, Jihad Fahs, Ibrahim Abou-Faycal
We study the rate-distortion problem for both scalar and vector memoryless heavy-tailed -stable sources (). Using a recently defined notion of ``strength" as a power…