Zobrazeno 1 - 10
of 23 532
pro vyhledávání: '"Neira A"'
Autor:
Dutta, Siddhant, de Freitas, Iago Leal, Xavier, Pedro Maciel, de Farias, Claudio Miceli, Neira, David Esteban Bernal
Federated Learning (FL) is a decentralized machine learning approach that has gained attention for its potential to enable collaborative model training across clients while protecting data privacy, making it an attractive solution for the chemical in
Externí odkaz:
http://arxiv.org/abs/2411.16737
Autor:
Arriagada-Neira, Sebastián, Herrera-Camus, Rodrigo, Villanueva, Vicente, Schreiber, Natascha M. Förster, Lee, Minju, Bolatto, Alberto, Chen, Jianhang, Genzel, Reinhard, Liu, Daizhong, Renzini, Alvio, Tacconi, Linda J., Tozzi, Giulia, Übler, Hannah
We present deep ($\sim$ 20 hr), high-angular resolution Atacama Large Millimeter/submillimeter Array (ALMA) observations of the $\rm CO ~ (4-3)$ and $\rm [CI] ~ (1-0)$ transitions, along with the rest-frame 630 $\mu$m dust continuum, in BX610 --a mas
Externí odkaz:
http://arxiv.org/abs/2410.14781
In this study we introduce Logarithmic Frequency Shift Keying (Log-FSK), a novel frequency modulation for over-the-air computation (AirComp). Log-FSK leverages non-linear signal processing to produce AirComp in the frequency domain, this is, the maxi
Externí odkaz:
http://arxiv.org/abs/2410.12815
Autor:
Dutta, Siddhant, Karanth, Pavana P, Xavier, Pedro Maciel, de Freitas, Iago Leal, Innan, Nouhaila, Yahia, Sadok Ben, Shafique, Muhammad, Neira, David E. Bernal
The widespread deployment of products powered by machine learning models is raising concerns around data privacy and information security worldwide. To address this issue, Federated Learning was first proposed as a privacy-preserving alternative to c
Externí odkaz:
http://arxiv.org/abs/2409.11430
Dynamic optimization problems involving discrete decisions have several applications, yet lead to challenging optimization problems that must be addressed efficiently. Combining discrete variables with potentially nonlinear constraints stemming from
Externí odkaz:
http://arxiv.org/abs/2409.09237
Autor:
Fagin, Joshua, Paic, Eric, Neira, Favio, Best, Henry, Anguita, Timo, Millon, Martin, O'Dowd, Matthew, Sluse, Dominique, Vernardos, Georgios
Upcoming wide field surveys such as the Rubin Observatory's Legacy Survey of Space and Time (LSST) will monitor thousands of strongly lensed quasars over a 10-year period. Many of these monitored quasars will undergo high magnification events (HMEs)
Externí odkaz:
http://arxiv.org/abs/2409.08999
Autor:
Chatterjee, Avimita, Rappaport, Sonny, Giri, Anish, Johri, Sonika, Proctor, Timothy, Neira, David E. Bernal, Sathe, Pratik, Lubinski, Thomas
Quantum Hamiltonian simulation is one of the most promising applications of quantum computing and forms the basis for many quantum algorithms. Benchmarking them is an important gauge of progress in quantum computing technology. We present a methodolo
Externí odkaz:
http://arxiv.org/abs/2409.06919
Chaotic signals offer promising characteristics for wireless communications due to their wideband nature, low cross-correlation, and sensitivity to initial conditions. Although classical chaotic modulation schemes like Chaos Shift Keying (CSK) can th
Externí odkaz:
http://arxiv.org/abs/2409.06630
Autor:
Maciejewski, Filip B., Bach, Bao Gia, Dupont, Maxime, Lott, P. Aaron, Sundar, Bhuvanesh, Neira, David E. Bernal, Safro, Ilya, Venturelli, Davide
Quantum approximate optimization is one of the promising candidates for useful quantum computation, particularly in the context of finding approximate solutions to Quadratic Unconstrained Binary Optimization (QUBO) problems. However, the existing qua
Externí odkaz:
http://arxiv.org/abs/2408.07793
Here we show that "exposure segregation" - the degree to which individuals of one group are exposed to individuals of another in day-to-day mobility - is dependent on the structure of cities, and the importance of downtowns in particular. Recent work
Externí odkaz:
http://arxiv.org/abs/2408.04373