Zobrazeno 1 - 10
of 4 757
pro vyhledávání: '"P. Stavrou"'
Autor:
Javaheri, Hamraz, Ghamarnejad, Omid, Lukowicz, Paul, Stavrou, Gregor Alexander, Karolus, Jakob
Wearable Augmented Reality (AR) technologies are gaining recognition for their potential to transform surgical navigation systems. As these technologies evolve, selecting the right interaction method to control the system becomes crucial. Our work in
Externí odkaz:
http://arxiv.org/abs/2412.16597
In this work, we study the problem of aggregation in the context of Bayesian Federated Learning (BFL). Using an information geometric perspective, we interpret the BFL aggregation step as finding the barycenter of the trained posteriors for a pre-spe
Externí odkaz:
http://arxiv.org/abs/2412.11646
Autor:
Stavrou, Michalis, Chacon, Benjamin, Farsari, Maria, Pappa, Anna Maria, Delogu, Lucia Gemma, Gogotsi, Yury, Gray, David
Ultrafast nonlinear optical (NLO) response, fast carrier recovery, broadband absorption, and resistance to radiation and heat make 2D materials promising for photonic technologies. However, low electronic conductivity and carrier concentration limit
Externí odkaz:
http://arxiv.org/abs/2412.09270
This paper deals with the computation of a non-asymptotic lower bound by means of the nonanticipative rate-distortion function (NRDF) on the discrete-time zero-delay variable-rate lossy compression problem for discrete Markov sources with per-stage,
Externí odkaz:
http://arxiv.org/abs/2411.11698
Akademický článek
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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
Akademický článek
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