Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Juniarto Samsudin"'
Autor:
Renuga Kanagavelu, Qingsong Wei, Zengxiang Li, Haibin Zhang, Juniarto Samsudin, Yechao Yang, Rick Siow Mong Goh, Shangguang Wang
Publikováno v:
Array, Vol 15, Iss , Pp 100207- (2022)
Federated learning (FL) allows a number of parties collectively train models without revealing private datasets. There is a possibility of extracting personal or confidential data from the shared models even-though sharing of raw data is prevented by
Externí odkaz:
https://doaj.org/article/d9455e683a51466abf4539ecb376352d
Autor:
Wei Qingsong, Yang Yechao, Lu Sifei, Juniarto Samsudin, Renuga Kanagavelu, Zhang Haibin, Farzam Farbiz
Publikováno v:
Internet of Things ISBN: 9783031209352
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19d7be1acb944d0d1828c6299298a82f
https://doi.org/10.1007/978-3-031-20936-9_6
https://doi.org/10.1007/978-3-031-20936-9_6
Autor:
Yongqing Zhu, Juniarto Samsudin, Renuga Kanagavelu, Theint Theint Aye, Weiwen Zhang, Rick Siow Mong Goh, Long Wang
Publikováno v:
The Journal of Supercomputing. 76:3572-3588
Existing Hadoop MapReduce fault tolerance strategy causes the computing jobs suffering from high performance penalty during failure recovery. In this paper, we propose Fast Recovery MapReduce (FAR-MR) to improve MapReduce performance in failure recov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59a14a24e79197a0506871bd831b711e
https://doi.org/10.1007/s11227-018-2716-8
https://doi.org/10.1007/s11227-018-2716-8
Autor:
Mervyn Cheah, Zengxiang Li, Yechao Yang, Shaista Hussain, Renuga Kanagavelu, Juniarto Samsudin, Rick Siow Mong Goh, Feng Yang
Publikováno v:
Intelligent Systems Reference Library ISBN: 9783030672690
The recent surge in the volume of real-time condition-monitoring data generated from connected devices such as from Industrial Internet of Things (IIoT), has enabled wide spread adoption of machine learning techniques to improve the efficiency, effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73eab5256af50486463b814e5a75882d
https://doi.org/10.1007/978-3-030-67270-6_6
https://doi.org/10.1007/978-3-030-67270-6_6
Autor:
Khajonpong Akkarajitsakul, Praewpiraya Wiwatphonthana, Shangguang Wang, Zengxiang Li, Rick Siow Mong Goh, Mervyn Cheah, Renuga Kanagavelu, Juniarto Samsudin, Yechao Yang, Feng Yang
Publikováno v:
CCGRID
Countries across the globe have been pushing strict regulations on the protection of personal or private data collected. The traditional centralized machine learning method, where data is collected from end-users or IoT devices, so that it can discov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce3ea010c5802b043ca302375b5d7af4
http://arxiv.org/abs/2005.11901
http://arxiv.org/abs/2005.11901
Publikováno v:
Current Bioinformatics. 15
Background: Genotype imputation as a service is developed to enable researchers to estimate genotypes on haplotyped data without performing whole genome sequencing. However, genotype imputation is computation intensive and thus it remains a challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32f2901f28bf1cf7c4d663de66a61a53
https://doi.org/10.2174/1574893615999200420071307
https://doi.org/10.2174/1574893615999200420071307
Publikováno v:
Distributed and Parallel Databases. 35:411-433
Federated cloud enables data sharing across different organizations. This paper proposes a distributed search index (DS-index) solution to provide distributed search capability in federated cloud, with the target to support multi-attribute range quer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bb402dc9794519e8415323035116479
https://doi.org/10.1007/s10619-017-7201-5
https://doi.org/10.1007/s10619-017-7201-5
Publikováno v:
IEEE Transactions on Magnetics. 49:2459-2465
Prompt response to data access requests is the key performance concern of parallel storage systems. Sort partition (SP) is one of the most promising file allocation solutions for the static scenario due to its sorted partition and placing mechanism.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ccdf7db1fc2dcf46a1f8ef8573a8a0e
https://doi.org/10.1109/tmag.2013.2252157
https://doi.org/10.1109/tmag.2013.2252157
Publikováno v:
ICCIP
In this paper, we propose a new reference-based data compression method for efficient compressing of genome sequencing data in FASTQ format. With the advance of the next sequencing technology, the genome data can be generated faster and cheaper, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df6c28eafcb3888340e3aad4e27aba78
https://doi.org/10.1145/3018009.3018030
https://doi.org/10.1145/3018009.3018030
Publikováno v:
NAS
Federated cloud facilitates data sharing across multiple organizations. Existing distributed storage systems cannot support efficient data search with complicated query requirements. This paper proposes a DS-index solution to provide distributed sear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b1b51b0612f015c4f5842f628a8980b
https://doi.org/10.1109/nas.2016.7549397
https://doi.org/10.1109/nas.2016.7549397