Zobrazeno 1 - 10
of 2 005
pro vyhledávání: '"Stavrou, P. A."'
The use of transformers for vision tasks has challenged the traditional dominant role of convolutional neural networks (CNN) in computer vision (CV). For image classification tasks, Vision Transformer (ViT) effectively establishes spatial relationshi
Externí odkaz:
http://arxiv.org/abs/2409.13828
We study the computation of the rate-distortion-perception function (RDPF) for discrete memoryless sources subject to a single-letter average distortion constraint and a perception constraint that belongs to the family of $f$-divergences. In this set
Externí odkaz:
http://arxiv.org/abs/2408.15015
The rapid proliferation of Internet of Things (IoT) devices across multiple sectors has escalated serious network security concerns. This has prompted ongoing research in Machine Learning (ML)-based Intrusion Detection Systems (IDSs) for cyber-attack
Externí odkaz:
http://arxiv.org/abs/2408.07152
Federated Learning (FL) exposes vulnerabilities to targeted poisoning attacks that aim to cause misclassification specifically from the source class to the target class. However, using well-established defense frameworks, the poisoning impact of thes
Externí odkaz:
http://arxiv.org/abs/2407.09958
Autor:
Stavrou, Andreas
We endow the cohomology of configuration spaces of a manifold with a product arising from superposing configurations. We prove that, under the scanning isomorphism, this product corresponds to the cup-product of the section space of the standard scan
Externí odkaz:
http://arxiv.org/abs/2404.16145
Autor:
Sharma, Pragya, Atalay, Tolga, Gibbs, Hans-Andrew, Stojadinovic, Dragoslav, Stavrou, Angelos, Wang, Haining
5G mobile networks leverage Network Function Virtualization (NFV) to offer services in the form of network slices. Each network slice is a logically isolated fragment constructed by service chaining a set of Virtual Network Functions (VNFs). The Netw
Externí odkaz:
http://arxiv.org/abs/2404.13242
Autor:
Strinati, Emilio Calvanese, Di Lorenzo, Paolo, Sciancalepore, Vincenzo, Aijaz, Adnan, Kountouris, Marios, Gündüz, Deniz, Popovski, Petar, Sana, Mohamed, Stavrou, Photios A., Soret, Beatriz, Cordeschi, Nicola, Scardapane, Simone, Merluzzi, Mattia, Zanzi, Lanfranco, Renato, Mauro Boldi, Quek, Tony, di Pietro, Nicola, Forceville, Olivier, Costanzo, Francesca, Li, Peizheng
Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents. These advancements impose new requirements on future 6G mobile network architectures. To meet these demand
Externí odkaz:
http://arxiv.org/abs/2402.07573
We present a new method to estimate the rate-distortion-perception function in the perfect realism regime (PR-RDPF), for multivariate continuous sources subject to a single-letter average distortion constraint. The proposed approach is not only able
Externí odkaz:
http://arxiv.org/abs/2401.17089
The Fifth Generation (5G) mobile core network is designed as a set of Virtual Network Functions (VNFs) hosted on Commercial-Off-the-Shelf (COTS) hardware. This creates a growing demand for general-purpose compute resources as 5G deployments continue
Externí odkaz:
http://arxiv.org/abs/2312.04833
In this paper, we study the computation of the rate-distortion-perception function (RDPF) for a multivariate Gaussian source under mean squared error (MSE) distortion and, respectively, Kullback-Leibler divergence, geometric Jensen-Shannon divergence
Externí odkaz:
http://arxiv.org/abs/2311.09190