Zobrazeno 1 - 10
of 23 352
pro vyhledávání: '"Taleb AN"'
Autor:
Consolaro Valentina Girelli, Rouchon Virgile, Baaziz Walid, Sharna Sharmin, Stanescu Stefan, Taleb Anne-Lise, Pirngruber Gerhard, Ersen Ovidiu
Publikováno v:
BIO Web of Conferences, Vol 129, p 26010 (2024)
Externí odkaz:
https://doaj.org/article/2966d5b09d804250a9697b71df20af6e
Trajectory optimization is a widely used tool in the design and control of dynamical systems. Typically, not only nonlinear dynamics, but also couplings of the initial and final condition through implicit boundary constraints render the optimization
Externí odkaz:
http://arxiv.org/abs/2412.03195
The demand for deploying deep convolutional neural networks (DCNNs) on resource-constrained devices for real-time applications remains substantial. However, existing state-of-the-art structured pruning methods often involve intricate implementations,
Externí odkaz:
http://arxiv.org/abs/2411.11079
Autor:
Motalleb, Mojdeh Karbalaee, Benzaid, Chafika, Taleb, Tarik, Katz, Marcos, Shah-Mansouri, Vahid, Song, JaeSeung
The evolution of wireless communication systems will be fundamentally impacted by an open radio access network (O-RAN), a new concept defining an intelligent architecture with enhanced flexibility, openness, and the ability to slice services more eff
Externí odkaz:
http://arxiv.org/abs/2411.08640
The human brain encodes stimuli from the environment into representations that form a sensory perception of the world. Despite recent advances in understanding visual and auditory perception, olfactory perception remains an under-explored topic in th
Externí odkaz:
http://arxiv.org/abs/2411.03038
The effective distribution of user transmit powers is essential for the significant advancements that the emergence of 6G wireless networks brings. In recent studies, Deep Neural Networks (DNNs) have been employed to address this challenge. However,
Externí odkaz:
http://arxiv.org/abs/2411.01924
This paper investigates a wireless powered mobile edge computing (WP-MEC) network with multiple hybrid access points (HAPs) in a dynamic environment, where wireless devices (WDs) harvest energy from radio frequency (RF) signals of HAPs, and then comp
Externí odkaz:
http://arxiv.org/abs/2411.00397
We propose a model for the virtual function placement problem and several novel algorithms using ideas based on multi-armed bandits. We prove that these algorithms learn the optimal placement policy rapidly, and their regret grows at a rate at most $
Externí odkaz:
http://arxiv.org/abs/2410.13696
Federated Learning (FL) enables training of a global model from distributed data, while preserving data privacy. However, the singular-model based operation of FL is open with uploading poisoned models compatible with the global model structure and c
Externí odkaz:
http://arxiv.org/abs/2409.08237
Autor:
Kianpisheh, Somayeh, Taleb, Tarik
Network function virtualization leverages programmable data plane switches to deploy in-network implementable functions, to improve QoS. The memories of switches can be extended through remote direct memory access to access external memories. This pa
Externí odkaz:
http://arxiv.org/abs/2409.08043