Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Dahrouj, Hayssam"'
The development of the sixth generation (6G) of wireless networks is bound to streamline the transition of computation and learning towards the edge of the network. Hierarchical federated learning (HFL) becomes, therefore, a key paradigm to distribut
Externí odkaz:
http://arxiv.org/abs/2407.07739
The convergence of communication and computation, along with the integration of machine learning and artificial intelligence, stand as key empowering pillars for the sixth-generation of communication systems (6G). This paper considers a network of on
Externí odkaz:
http://arxiv.org/abs/2406.03548
Machine teaching often involves the creation of an optimal (typically minimal) dataset to help a model (referred to as the `student') achieve specific goals given by a teacher. While abundant in the continuous domain, the studies on the effectiveness
Externí odkaz:
http://arxiv.org/abs/2401.17865
Publikováno v:
IEEE Internet of Things Journal, 2023
Extended reality (XR) applications often perform resource-intensive tasks, which are computed remotely, a process that prioritizes the latency criticality aspect. To this end, this paper shows that through leveraging the power of the central cloud (C
Externí odkaz:
http://arxiv.org/abs/2310.06874
Autor:
Mershad, Khaleel, Dahrouj, Hayssam
The recently accentuated features of augmenting conventional wireless networks with high altitude platform systems (HAPS) have fueled a plethora of applications, which promise to offer new services to ground users, as well to enhance the efficiency a
Externí odkaz:
http://arxiv.org/abs/2306.01616
Unmanned aerial vehicles (UAVs) mobility enables flexible and customized federated learning (FL) at the network edge. However, the underlying uncertainties in the aerial-terrestrial wireless channel may lead to a biased FL model. In particular, the d
Externí odkaz:
http://arxiv.org/abs/2212.14360
The evolvement of wireless communication services concurs with significant growth in data traffic, thereby inflicting stringent requirements on terrestrial networks. This work invigorates a novel connectivity solution that integrates aerial and terre
Externí odkaz:
http://arxiv.org/abs/2212.02052
Autor:
Reifert, Robert-Jeron, Dahrouj, Hayssam, Shihada, Basem, Sezgin, Aydin, Al-Naffouri, Tareq Y., Alouini, Mohamed-Slim
Publikováno v:
2022 IEEE Globecom Workshops (GC Wkshps)
Facing a vast amount of connections, huge performance demands, and the need for reliable connectivity, the sixth generation of communication networks (6G) is envisioned to implement disruptive technologies that jointly spur connectivity, performance,
Externí odkaz:
http://arxiv.org/abs/2210.02090
Integrated space-air-ground networks promise to offer a valuable solution space for empowering the sixth generation of communication networks (6G), particularly in the context of connecting the unconnected and ultraconnecting the connected. Such digi
Externí odkaz:
http://arxiv.org/abs/2205.13958
This paper proposes, and evaluates the benefit of, one particular hybrid satellite-HAPS-ground network, where one high-altitude-platform-station (HAPS) connected to one geo-satellite assists the ground base-stations (BSs) at serving ground-level user
Externí odkaz:
http://arxiv.org/abs/2204.13257