Zobrazeno 1 - 10
of 6 664
pro vyhledávání: '"Sayyed, P."'
Autor:
Ahamed, Sayyed Farid, Banerjee, Soumya, Roy, Sandip, Kapoor, Aayush, Vucovich, Marc, Choi, Kevin, Rahman, Abdul, Bowen, Edward, Shetty, Sachin
In the evolving landscape of machine learning (ML), Federated Learning (FL) presents a paradigm shift towards decentralized model training while preserving user data privacy. This paper introduces the concept of ``privacy drift", an innovative framew
Externí odkaz:
http://arxiv.org/abs/2412.05183
A leaky wave antenna based on spin photonic topological insulators has been developed, featuring a hexagonal unit cell arranged in an armchair configuration. This configuration offers advantages over the zigzag arrangement, particularly with its wide
Externí odkaz:
http://arxiv.org/abs/2411.15820
Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
Autor:
Soumma, Shovito Barua, Alam, S M Raihanul, Rahman, Rudmila, Mahi, Umme Niraj, Mamun, Abdullah, Mostafavi, Sayyed Mostafa, Ghasemzadeh, Hassan
Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD) that impairs mobility and safety. Traditional detection methods face challenges due to intra and inter-patient variability, and most systems are tested in controlled setting
Externí odkaz:
http://arxiv.org/abs/2411.11764
Portfolio diversification, traditionally measured through asset correlations and volatilitybased metrics, is fundamental to managing financial risk. However, existing diversification metrics often overlook non-numerical relationships between assets t
Externí odkaz:
http://arxiv.org/abs/2411.06080
A tensor-based formula for solving the linear system involving Kronecker sum is proposed. It is shown that the linear system involving Kronecker sum of matrices is directly related to the matrix and tensor forms of Sylvester equation. The new tensor-
Externí odkaz:
http://arxiv.org/abs/2410.04026
Autor:
Sayyed, Sazzad, Zhang, Milin, Rifat, Shahriar, Swami, Ananthram, De Lucia, Michael, Restuccia, Francesco
In order to deploy deep neural networks (DNNs) in high-stakes scenarios, it is imperative that DNNs provide inference robust to external perturbations - both intentional and unintentional. Although the resilience of DNNs to intentional and unintentio
Externí odkaz:
http://arxiv.org/abs/2408.00193
Autor:
Ahamed, Sayyed Farid, Banerjee, Soumya, Roy, Sandip, Quinn, Devin, Vucovich, Marc, Choi, Kevin, Rahman, Abdul, Hu, Alison, Bowen, Edward, Shetty, Sachin
Over the last few years, federated learning (FL) has emerged as a prominent method in machine learning, emphasizing privacy preservation by allowing multiple clients to collaboratively build a model while keeping their training data private. Despite
Externí odkaz:
http://arxiv.org/abs/2407.19119
Autor:
Rafi, Sayyed A., Nugroho, Stevanus K., Tamura, Motohide, Nortmann, Lisa, Sánchez-López, Alejandro
Transmission spectroscopy presents one of the most successful approaches for investigating the atmospheres of exoplanets. We analyzed the near-infrared high-resolution transmission spectrum of a hot Saturn, HD 149026 b, taken using CARMENES spectrogr
Externí odkaz:
http://arxiv.org/abs/2407.01266
Autor:
Armstrong, Robert, Sheldon, Erin, Huff, Eric, Bosch, Jim, Rykoff, Eli, Mandelbaum, Rachel, Kannawadi, Arun, Melchior, Peter, Lupton, Robert, Becker, Matthew R., Al-Sayyed, Yusra, Collaboration, The LSST Dark Energy Science
Upcoming wide field surveys will have many overlapping epochs of the same region of sky. The conventional wisdom is that in order to reduce the errors sufficiently for systematics-limited measurements, like weak lensing, we must do simultaneous fitti
Externí odkaz:
http://arxiv.org/abs/2407.01771
This study aims at predicting the impact of e-commerce indicators on international trade of the selected OECD countries and Iran, by using the artificial intelligence approach and P-VAR. According to the nature of export, import, GDP, and ICT functio
Externí odkaz:
http://arxiv.org/abs/2403.20310