Zobrazeno 1 - 10
of 18 769
pro vyhledávání: '"A. Lari"'
Autor:
De Lucia, Mario, Bo, Paolo Dal, Di Giorgi, Eugenia, Lari, Tommaso, Puglia, Claudio, Paolucci, Federico
Transition Edge Sensors (TESs) are amongst the most sensitive cryogenic detectors and can be easily optimized for the detection of massive particles or photons ranging from X-rays all the way down to millimetre radiation. Furthermore, TESs exhibit un
Externí odkaz:
http://arxiv.org/abs/2411.01968
Federated learning (FL) leverages client-server communications to train global models on decentralized data. However, communication noise or errors can impair model accuracy. To address this problem, we propose a novel FL algorithm that enhances robu
Externí odkaz:
http://arxiv.org/abs/2409.13451
Autor:
Smetana, Jiri, Ubhi, Amit Singh, Chick, Emilia, Prokhorov, Leonid, Bryant, John, Dmitriev, Artemiy, Gill, Alex, Koponen, Lari, Miao, Haixing, Cumming, Alan V., Hammond, Giles, Frolov, Valery, Mittleman, Richard, Fritchel, Peter, Martynov, Denis
We present a pair of seismometers capable of measurement in all six axes of rigid motion. The vacuum-compatible devices implement compact interferometric displacement sensors to surpass the sensitivity of typical electrical readout schemes. Together
Externí odkaz:
http://arxiv.org/abs/2405.13475
Autor:
Hou, Jue, Katinskaia, Anisia, Kotilainen, Lari, Trangcasanchai, Sathianpong, Vu, Anh-Duc, Yangarber, Roman
This paper investigates what insights about linguistic features and what knowledge about the structure of natural language can be obtained from the encodings in transformer language models.In particular, we explore how BERT encodes the government rel
Externí odkaz:
http://arxiv.org/abs/2404.14270
Nonnegative matrix factorization (NMF) is an effective data representation tool with numerous applications in signal processing and machine learning. However, deploying NMF in a decentralized manner over ad-hoc networks introduces privacy concerns du
Externí odkaz:
http://arxiv.org/abs/2403.18326
We introduce a distributed algorithm, termed noise-robust distributed maximum consensus (RD-MC), for estimating the maximum value within a multi-agent network in the presence of noisy communication links. Our approach entails redefining the maximum c
Externí odkaz:
http://arxiv.org/abs/2403.18509
Federated learning (FL) allows training machine learning models on distributed data without compromising privacy. However, FL is vulnerable to model-poisoning attacks where malicious clients tamper with their local models to manipulate the global mod
Externí odkaz:
http://arxiv.org/abs/2403.13108
Autor:
Cook, Harry, Bezsudnova, Yulia, Koponen, Lari M., Jensen, Ole, Barontini, Giovanni, Kowalczyk, Anna U.
Publikováno v:
Quantum Sci. Technol. 9 035016 (2024)
We realise an intrinsic optically pumped magnetic gradiometer based on non-linear magneto-optical rotation. We show that our sensor can reach a gradiometric sensitivity of 18 $\text{fT}/\text{cm}/\sqrt{\text{Hz}}$ and can reject common mode homogeneo
Externí odkaz:
http://arxiv.org/abs/2402.10113
Autor:
Ćuk, Matija, Moutamid, Maryame El, Lari, Giacomo, Neveu, Marc, Nimmo, Francis, Noyelles, Benoît, Rhoden, Alyssa, Saillenfest, Melaine
Here we present the current state of knowledge on the long-term evolution of Saturn's moon system due to tides within Saturn. First we provide some background on tidal evolution, orbital resonances and satellite tides. Then we address in detail some
Externí odkaz:
http://arxiv.org/abs/2401.15797
Publikováno v:
Journal of Facilities Management, 2023, Vol. 22, Issue 5, pp. 849-868.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JFM-01-2022-0005
