Zobrazeno 1 - 10
of 560
pro vyhledávání: '"P Kountouris"'
This work introduces a novel method for enhancing confidence in anomaly detection in Intrusion Detection Systems (IDS) through the use of a Variational Autoencoder (VAE) architecture. By developing a confidence metric derived from latent space repres
Externí odkaz:
http://arxiv.org/abs/2409.13774
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
This paper studies decision-making for goal-oriented effective communication. We consider an end-to-end status update system where a sensing agent (SA) observes a source, generates and transmits updates to an actuation agent (AA), while the AA takes
Externí odkaz:
http://arxiv.org/abs/2407.14092
We consider the problem of real-time remote monitoring of a two-state Markov process, where a sensor observes the state of the source and makes a decision on whether to transmit the status updates over an unreliable channel or not. We introduce a mod
Externí odkaz:
http://arxiv.org/abs/2406.14594
DRACO: Decentralized Asynchronous Federated Learning over Continuous Row-Stochastic Network Matrices
Autor:
Jeong, Eunjeong, Kountouris, Marios
Recent developments and emerging use cases, such as smart Internet of Things (IoT) and Edge AI, have sparked considerable interest in the training of neural networks over fully decentralized (serverless) networks. One of the major challenges of decen
Externí odkaz:
http://arxiv.org/abs/2406.13533
Autor:
P Kountouris, C Stephanou, N Archer, F Bonifazi, V Giannuzzi, K Kuo, A Maggio, J Makani, M Mañú Pereira, K Michailidou, S Nkya, O Nnodu, S Trompeter, L Tshilolo, A Wonkam, B Zilfalil, B Inusa, M Kleanthous
Publikováno v:
HemaSphere, Vol 6, Pp 25-26 (2022)
Externí odkaz:
https://doaj.org/article/625c714fecc34f97a27c0339a670b69f
Integrated sensing and communications (ISAC) is regarded as a key technology in next-generation (6G) mobile communication systems. Affine frequency division multiplexing (AFDM) is a recently proposed waveform that achieves optimal diversity gain in h
Externí odkaz:
http://arxiv.org/abs/2402.16468
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
Publikováno v:
HemaSphere, Vol 6, Pp 31-31 (2022)
Externí odkaz:
https://doaj.org/article/f4d50227a6a34ce3ae0c173c6b887f91
In this paper, we propose two new performance metrics, coined the Version Innovation Age (VIA) and the Age of Incorrect Version (AoIV) for real-time monitoring of a two-state Markov process over an unreliable channel. We analyze their performance und
Externí odkaz:
http://arxiv.org/abs/2401.17691