Zobrazeno 1 - 10
of 1 033
pro vyhledávání: '"P, Gerôme"'
Autor:
Feng, Chao, Guan, Hongjie, Celdrán, Alberto Huertas, von der Assen, Jan, Bovet, Gérôme, Stiller, Burkhard
Federated Learning (FL) performance is highly influenced by data distribution across clients, and non-Independent and Identically Distributed (non-IID) leads to a slower convergence of the global model and a decrease in model effectiveness. The exist
Externí odkaz:
http://arxiv.org/abs/2410.07678
Autor:
Celdrán, Alberto Huertas, Feng, Chao, Banik, Sabyasachi, Bovet, Gerome, Perez, Gregorio Martinez, Stiller, Burkhard
Federated Learning (FL), introduced in 2016, was designed to enhance data privacy in collaborative model training environments. Among the FL paradigm, horizontal FL, where clients share the same set of features but different data samples, has been ex
Externí odkaz:
http://arxiv.org/abs/2410.06127
Autor:
Feng, Chao, Celdrán, Alberto Huertas, Zeng, Zien, Ye, Zi, von der Assen, Jan, Bovet, Gerome, Stiller, Burkhard
Decentralized Federated Learning (DFL), a paradigm for managing big data in a privacy-preserved manner, is still vulnerable to poisoning attacks where malicious clients tamper with data or models. Current defense methods often assume Independently an
Externí odkaz:
http://arxiv.org/abs/2409.19302
Open-ended questions test a more thorough understanding than closed-ended questions and are often a preferred assessment method. However, open-ended questions are tedious to grade and subject to personal bias. Therefore, there have been efforts to sp
Externí odkaz:
http://arxiv.org/abs/2409.18596
Autor:
da Silva, Ricardo E., Osório, Jonas H., Gérôme, Frédéric, Benabid, Fetah, Webb, David J., Franco, Marcos A. R., Cordeiro, Cristiano M. B.
An all-fiber dual Mach-Zehnder interferometer (MZI) based on an acoustically modulated hollow-core fiber (HCF) is experimentally demonstrated for the first time. By attaching an acoustic driver in between the fixed ends of an HCF, we fabricated two a
Externí odkaz:
http://arxiv.org/abs/2409.09148
Autor:
Lee, Man-Yin Leo, Yan, Renbin, Ji, Xihan, Algodon, Gerome, Westfall, Kyle, Lin, Zesen, Belfiore, Francesco, Bundy, Kevin
In non-star-forming, passively evolving galaxies, regions with emission lines dominated by low-ionization species are classified as Low-Ionization Emission Regions (LIERs). The ionization mechanism behind such regions has long been a mystery. Active
Externí odkaz:
http://arxiv.org/abs/2408.07952
Autor:
Feng, Chao, Celdrán, Alberto Huertas, von der Assen, Jan, Beltrán, Enrique Tomás Martínez, Bovet, Gérôme, Stiller, Burkhard
Federated Learning (FL) has emerged as a promising approach to address privacy concerns inherent in Machine Learning (ML) practices. However, conventional FL methods, particularly those following the Centralized FL (CFL) paradigm, utilize a central s
Externí odkaz:
http://arxiv.org/abs/2407.08652
Prompting and Multiple Choices Questions (MCQ) have become the preferred approach to assess the capabilities of Large Language Models (LLMs), due to their ease of manipulation and evaluation. Such experimental appraisals have pointed toward the LLMs'
Externí odkaz:
http://arxiv.org/abs/2406.14986
Autor:
Nanayakkara, Priyanka, Kim, Hyeok, Wu, Yifan, Sarvghad, Ali, Mahyar, Narges, Miklau, Gerome, Hullman, Jessica
Publikováno v:
in 2024 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2024 pp. 231-231
Differential privacy (DP) has the potential to enable privacy-preserving analysis on sensitive data, but requires analysts to judiciously spend a limited ``privacy loss budget'' $\epsilon$ across queries. Analysts conducting exploratory analyses do n
Externí odkaz:
http://arxiv.org/abs/2406.01964
Diffusion models recently proved to be remarkable priors for Bayesian inverse problems. However, training these models typically requires access to large amounts of clean data, which could prove difficult in some settings. In this work, we present a
Externí odkaz:
http://arxiv.org/abs/2405.13712