Enhancement of the efficiency of the generation of samples by GANs over an MPI/MPI4Py-enabled distributed infrastructure [63].

<p>Enhancement of the efficiency of the generation of samples by GANs over an MPI/MPI4Py-enabled distributed infrastructure [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0331019#pone.0331019.ref063" target="_blank">63</a>].</p>

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Bibliographic Details
Main Author:	Syed Zubair Ahmad (22311757) (author)
Other Authors:	Farhan Qamar (22311760) (author), Hamdan Alshehri (22311763) (author), Fathe Jeribi (19106500) (author), Ali Tahir (4342723) (author), Shams Tabrez Siddiqui (22311766) (author), Jayabrabu Ramakrishnan (20591170) (author)
Published:	2025
Subjects:	Biotechnology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified skewed datasets prevalent reduces training time message passing interface limited computing capacity large data volumes including disaster recovery heterogeneous communication technologies experimental evaluations demonstrate central highperformance computing generative adversarial networks convolutional neural networks time security operations time anomaly detection dynamic defense mechanism huge iot data based distributed environments contemporary iot networks based iot scenarios becoming increasingly critical hpc system via networks based enhancing security discriminator mechanism critical applications accurate detection iot systems based approach various risks thereby addressing study highlights secure transmission scales well research proposes remote sensing provide fast primary one maximize efficiency hpc cloud highly suitable envisaged solution environmental surveillance enabled gpus either benign deep learning cybersecurity research confidential information computationally expensive
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Enhancement of the efficiency of the generation of samples by GANs over an MPI/MPI4Py-enabled distributed infrastructure [63].

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