14 citations · 35 across the 12 of their papers we have counts for
6 papers · 1 filter
FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments
Mert Unsal, Ali Maatouk, Antonio De Domenico +2
As deep learning models become increasingly large, they pose significant challenges in heterogeneous devices environments. The size of deep learning models makes it difficult to de…
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge
Ali Maatouk, Fadhel Ayed, Nicola Piovesan +3
We introduce TeleQnA, the first benchmark dataset designed to evaluate the knowledge of Large Language Models (LLMs) in telecommunications. Comprising 10,000 questions and answers,…
Large Language Models for Telecom: Forthcoming Impact on the Industry
Ali Maatouk, Nicola Piovesan, Fadhel Ayed +2
Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing field…
How Costly Was That (In)Decision?
Peng Zou, Ali Maatouk, Jin Zhang +1
In this paper, we introduce a new metric, named Penalty upon Decision (PuD), for measuring the impact of communication delays and state changes at the source on a remote decision m…
An Optimization Framework For Anomaly Detection Scores Refinement With Side Information
Ali Maatouk, Fadhel Ayed, Wenjie Li +3
This paper considers an anomaly detection problem in which a detection algorithm assigns anomaly scores to multi-dimensional data points, such as cellular networks' Key Performance…
A Framework for the Evaluation of Network Reliability Under Periodic Demand
Ali Maatouk, Fadhel Ayed, Shi Biao +3
In this paper, we study network reliability in relation to a periodic time-dependent utility function that reflects the system's functional performance. When an anomaly occurs, the…