Zobrazeno 1 - 10
of 30 171
pro vyhledávání: '"A Yahia"'
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
We propose an uplink over-the-air aggregation (OAA) method for wireless federated learning (FL) that simultaneously trains multiple models. To maximize the multi-model training convergence rate, we derive an upper bound on the optimality gap of the g
Externí odkaz:
http://arxiv.org/abs/2409.00978
Autor:
Bélanger, Olivier, Lupien, Jean-Luc, Yahia, Olfa Ben, Martel, Stéphane, Lesage-Landry, Antoine, Kurt, Gunes Karabulut
The rise in low Earth orbit (LEO) satellite Internet services has led to increasing demand, often exceeding available data rates and compromising the quality of service. While deploying more satellites offers a short-term fix, designing higher-perfor
Externí odkaz:
http://arxiv.org/abs/2409.01488
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 introduces a new macroscopic perspective for simulating transportation networks. The idea is to look at the network as connected nodes. Each node sends an information package to its neighbors. Basically, the information package contains a
Externí odkaz:
http://arxiv.org/abs/2407.13369
The support of artificial intelligence (AI) based decision-making is a key element in future 6G networks, where the concept of native AI will be introduced. Moreover, AI is widely employed in different critical applications such as autonomous driving
Externí odkaz:
http://arxiv.org/abs/2407.07009
Autor:
Yahia, Olfa Ben, Garroussi, Zineb, Sansò, Brunilde, Frigon, Jean-François, Martel, Stéphane, Lesage-Landry, Antoine, Kurt, Gunes Karabulut
This paper addresses the limitations of current satellite payload architectures, which are predominantly hardware-driven and lack the flexibility to adapt to increasing data demands and uneven traffic. To overcome these challenges, we present a novel
Externí odkaz:
http://arxiv.org/abs/2407.06075
Based on the combinatorial interpretation of the ordered Bell numbers, which count all the ordered partitions of the set $[n]=\{1,2,\dots,n\}$, we introduce the Fibonacci partition as a Fibonacci permutation of its blocks. Then we define the Fibonacc
Externí odkaz:
http://arxiv.org/abs/2407.04409
Autor:
Rashidi, A., Yahia, H., Bontemps, S., Schneider, N., Bonne, L., Hennebelle, P., Scholtys, J., Attuel, G., Turiel, A., Simon, R., Cailly, A., Zebadua, A., Cherif, A., Lacroix, C., Martin, M., Aouni, A. El, Sakka, C., Maji, S. K.
Publikováno v:
Astronomy & Astrophysics 2024
We present significant improvements to our previous work on noise reduction in {\sl Herschel} observation maps by defining sparse filtering tools capable of handling, in a unified formalism, a significantly improved noise reduction as well as a decon
Externí odkaz:
http://arxiv.org/abs/2406.00893