Zobrazeno 1 - 10
of 32 915
pro vyhledávání: '"A. Aftab"'
Federated Learning (FL) is a distributed machine learning approach that enables training on decentralized data while preserving privacy. However, FL systems often involve resource-constrained client devices with limited computational power, memory, s
Externí odkaz:
http://arxiv.org/abs/2406.19050
Machine learning (ML) has seen tremendous advancements, but its environmental footprint remains a concern. Acknowledging the growing environmental impact of ML this paper investigates Green ML, examining various model architectures and hyperparameter
Externí odkaz:
http://arxiv.org/abs/2406.14328
Autor:
Krasilnikov, M., Aboulbanine, Z., Adhikari, G., Aftab, N., Asoyan, A., Boonpornprasert, P., Davtyan, H., Georgiev, G., Good, J., Grebinyk, A., Gross, M., Hoffmann, A., Kongmon, E., Li, X. -K., Lueangaramwong, A., Melkumyan, D., Mohanty, S., Niemczyk, R., Oppelt, A., Qian, H., Richard, C., Stephan, F., Vashchenko, G., Weilbach, T., Zhang, X., Tischer, M., Schneidmiller, E., Vagin, P., Yurkov, M., Zapolnova, E., Hillert, W., Brachmann, J. Rossbach A., Holtkamp, N., Nuhn, H. -D.
Advanced experiments using THz pump and X-ray probe pulses at modern free-electron lasers (FELs) like the European X-ray FEL require a frequency-tunable, high-power, narrow-band THz source maintaining the repetition rate and pulse structure of the X-
Externí odkaz:
http://arxiv.org/abs/2405.19152
Autor:
Yzquierdo, Antonio Perez-Calero, Mascheroni, Marco, Kizinevic, Edita, Khan, Farrukh Aftab, Kim, Hyunwoo, Flechas, Maria Acosta, Tsipinakis, Nikos, Haleem, Saqib
While the computing landscape supporting LHC experiments is currently dominated by x86 processors at WLCG sites, this configuration will evolve in the coming years. LHC collaborations will be increasingly employing HPC and Cloud facilities to process
Externí odkaz:
http://arxiv.org/abs/2405.14647
Autor:
Yzquierdo, Antonio Perez-Calero, Mascheroni, Marco, Kizinevic, Edita, Khan, Farrukh Aftab, Kim, Hyunwoo, Flechas, Maria Acosta, Tsipinakis, Nikos, Haleem, Saqib, Wurthwein, Frank
The CMS Submission Infrastructure (SI) is the main computing resource provisioning system for CMS workloads. A number of HTCondor pools are employed to manage this infrastructure, which aggregates geographically distributed resources from the WLCG an
Externí odkaz:
http://arxiv.org/abs/2405.14644
Autor:
Mascheroni, Marco, Yzquierdo, Antonio Perez-Calero, Kizinevic, Edita, Khan, Farrukh Aftab, Kim, Hyunwoo, Flechas, Maria Acosta, Tsipinakis, Nikos, Haleem, Saqib, Spiga, Damiele, Wissing, Christoph, Wurthwein, Frank
The former CMS Run 2 High Level Trigger (HLT) farm is one of the largest contributors to CMS compute resources, providing about 25k job slots for offline computing. This CPU farm was initially employed as an opportunistic resource, exploited during i
Externí odkaz:
http://arxiv.org/abs/2405.14639
Autor:
Yzquierdo, Antonio Perez-Calero, Mascheroni, Marco, Kizinevic, Edita, Khan, Farrukh Aftab, Kim, Hyunwoo, Flechas, Maria Acosta, Tsipinakis, Nikos, Haleem, Saqib
The computing resource needs of LHC experiments are expected to continue growing significantly during the Run 3 and into the HL-LHC era. The landscape of available resources will also evolve, as High Performance Computing (HPC) and Cloud resources wi
Externí odkaz:
http://arxiv.org/abs/2405.14631
Large language models (LLMs) have revolutionized software development practices, yet concerns about their safety have arisen, particularly regarding hidden backdoors, aka trojans. Backdoor attacks involve the insertion of triggers into training data,
Externí odkaz:
http://arxiv.org/abs/2405.11466
Autor:
Hussain, Aftab, Rabin, Md Rafiqul Islam, Ahmed, Toufique, Xu, Bowen, Devanbu, Premkumar, Alipour, Mohammad Amin
Large language models (LLMs) have provided a lot of exciting new capabilities in software development. However, the opaque nature of these models makes them difficult to reason about and inspect. Their opacity gives rise to potential security risks,
Externí odkaz:
http://arxiv.org/abs/2405.02828
Autor:
Alam, Aftab
In this paper, we introduce the notions of proximally completeness, proximally closedness and proximally continuity and utilize the same to prove a result on existence and uniqueness of best proximity points in the setting of metric space (not necess
Externí odkaz:
http://arxiv.org/abs/2405.02635