Zobrazeno 1 - 10
of 166
pro vyhledávání: '"Yahia Sadok Ben"'
Publikováno v:
TalTech Journal of European Studies, Vol 14, Iss 2, Pp 167-189 (2024)
The modern labor market faces complex challenges stemming from various factors, such as demographic shifts, the far-reaching impacts of digital and technological evolution, changing job profiles, and job losses due to automation and the green-economy
Externí odkaz:
https://doaj.org/article/f37c15d2d1c548b3902b35fbadae3701
Autor:
Dutta, Siddhant, Innan, Nouhaila, Yahia, Sadok Ben, Shafique, Muhammad, Neira, David Esteban Bernal
The integration of fully homomorphic encryption (FHE) in federated learning (FL) has led to significant advances in data privacy. However, during the aggregation phase, it often results in performance degradation of the aggregated model, hindering th
Externí odkaz:
http://arxiv.org/abs/2412.01858
Autor:
Dutta, Siddhant, Karanth, Pavana P, Xavier, Pedro Maciel, de Freitas, Iago Leal, Innan, Nouhaila, Yahia, Sadok Ben, Shafique, Muhammad, Neira, David E. Bernal
The widespread deployment of products powered by machine learning models is raising concerns around data privacy and information security worldwide. To address this issue, Federated Learning was first proposed as a privacy-preserving alternative to c
Externí odkaz:
http://arxiv.org/abs/2409.11430
The growing computational demands of artificial intelligence (AI) in addressing climate change raise significant concerns about inefficiencies and environmental impact, as highlighted by the Jevons paradox. We propose an attention-enhanced quantum ph
Externí odkaz:
http://arxiv.org/abs/2409.01626
Financial market prediction and optimal trading strategy development remain challenging due to market complexity and volatility. Our research in quantum finance and reinforcement learning for decision-making demonstrates the approach of quantum-class
Externí odkaz:
http://arxiv.org/abs/2408.03088
This paper presents a new simulation-based approach to address the stochastic Dynamic Traffic Assignment (DTA) problem, focusing on large congested networks and dynamic settings. The proposed methodology incorporates a random walk model inspired by t
Externí odkaz:
http://arxiv.org/abs/2311.12440
Data integration is considered a classic research field and a pressing need within the information science community. Ontologies play a critical role in such a process by providing well-consolidated support to link and semantically integrate datasets
Externí odkaz:
http://arxiv.org/abs/2310.11723
Autor:
Rincon-Yanez, Diego, Ounoughi, Chahinez, Sellami, Bassem, Kalvet, Tarmo, Tiits, Marek, Senatore, Sabrina, Yahia, Sadok Ben
Knowledge representation (KR) is vital in designing symbolic notations to represent real-world facts and facilitate automated decision-making tasks. Knowledge graphs (KGs) have emerged so far as a popular form of KR, offering a contextual and human-l
Externí odkaz:
http://arxiv.org/abs/2310.11161
Publikováno v:
In Future Generation Computer Systems February 2025 163
Publikováno v:
In Computer Networks May 2024 244