Zobrazeno 1 - 10
of 1 566
pro vyhledávání: '"Nageen"'
Autor:
Xu, Weilin, Szyller, Sebastian, Cornelius, Cory, Rojas, Luis Murillo, Arvinte, Marius, Velasquez, Alvaro, Martin, Jason, Himayat, Nageen
Adversarial examples in the digital domain against deep learning-based computer vision models allow for perturbations that are imperceptible to human eyes. However, producing similar adversarial examples in the physical world has been difficult due t
Externí odkaz:
http://arxiv.org/abs/2411.16622
Autor:
Dai, Shenghong, Sohn, Jy-yong, Chen, Yicong, Alam, S M Iftekharul, Balakrishnan, Ravikumar, Banerjee, Suman, Himayat, Nageen, Lee, Kangwook
Continual Federated Learning (CFL) is essential for enabling real-world applications where multiple decentralized clients adaptively learn from continuous data streams. A significant challenge in CFL is mitigating catastrophic forgetting, where model
Externí odkaz:
http://arxiv.org/abs/2409.01585
Training Graph Neural Networks (GNNs) on large graphs presents unique challenges due to the large memory and computing requirements. Distributed GNN training, where the graph is partitioned across multiple machines, is a common approach to training G
Externí odkaz:
http://arxiv.org/abs/2406.17611
Autor:
Balakrishnan, Ravikumar, Arvinte, Marius, Himayat, Nageen, Nikopour, Hosein, Moustafa, Hassnaa
Adversarial machine learning, focused on studying various attacks and defenses on machine learning (ML) models, is rapidly gaining importance as ML is increasingly being adopted for optimizing wireless systems such as Open Radio Access Networks (O-RA
Externí odkaz:
http://arxiv.org/abs/2405.03891
Beyond their impressive sampling capabilities, score-based diffusion models offer a powerful analysis tool in the form of unbiased density estimation of a query sample under the training data distribution. In this work, we investigate the robustness
Externí odkaz:
http://arxiv.org/abs/2310.07084
In conventional federated hyperdimensional computing (HDC), training larger models usually results in higher predictive performance but also requires more computational, communication, and energy resources. If the system resources are limited, one ma
Externí odkaz:
http://arxiv.org/abs/2306.01339
Autor:
Akhtar Nosheen, Shahzad Asim, Ilyas Noshin, Bostan Nageen, Jameel Muhammad Azhar, Mukhtar Shahid, Qin Mingzhou, Li Hao Yang, Alhewairini Saleh S.
Publikováno v:
Nanotechnology Reviews, Vol 13, Iss 1, Pp 160-76 (2024)
Cold stress has an immediate impact on plant structure and function. A large number of free radicals cause oxidative stress in plants. Cold stress causes altered membrane permeability, lipid peroxidation, and DNA damage. It denatures enzymes and disr
Externí odkaz:
https://doaj.org/article/c0e93e92ad4c4145871e471142668e9b
Autor:
Vivas-Cortez, Miguel1 (AUTHOR) mjvivas@puce.edu.ec, Nageen, Maham2 (AUTHOR) mahamnageen5@gmail.com, Abbas, Muhammad2 (AUTHOR) muhammad.abbas@uos.edu.pk, Alosaimi, Moataz3 (AUTHOR) m.alosaimi@tu.edu.sa
Publikováno v:
Symmetry (20738994). Aug2024, Vol. 16 Issue 8, p1085. 31p.
Autor:
Ponomarenko-Timofeev, Aleksei, Galinina, Olga, Balakrishnan, Ravikumar, Himayat, Nageen, Andreev, Sergey, Koucheryavy, Yevgeni
Federated systems enable collaborative training on highly heterogeneous data through model personalization, which can be facilitated by employing multi-task learning algorithms. However, significant variation in device computing capabilities may resu
Externí odkaz:
http://arxiv.org/abs/2303.10254
Publikováno v:
Gut Microbes, Vol 16, Iss 1 (2024)
ABSTRACTA healthy balanced diet is crucial in protecting the immune system against infections and diseases. Poor diets, such as the Western diet, contribute to the development of metabolic diseases, hypertension, and obesity. Microbiota, primarily co
Externí odkaz:
https://doaj.org/article/1f526477b60e4caeb97bbb1af0d86501