Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Renuga Kanagavelu"'
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:
Renuga Kanagavelu, Pratik Garai, Kinshuk Dua, Susan Elias, Neha Thomas, Simon Elias, Qingsong Wei, Yong Liu, Goh Siow Mong Rick
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd9d82b62f2100d8a0ed6d1544d573bf
https://doi.org/10.2139/ssrn.4062814
https://doi.org/10.2139/ssrn.4062814
Autor:
Renuga Kanagavelu, Kinshuk Dua, Pratik Garai, Neha Thomas, Simon Elias, Susan Elias, Qingsong Wei, Liu Yong, Goh Siow Mong Rick
Publikováno v:
Electronics
Volume 12
Issue 4
Pages: 896
Volume 12
Issue 4
Pages: 896
Federated deep learning frameworks can be used strategically to monitor land use locally and infer environmental impacts globally. Distributed data from across the world would be needed to build a global model for land use classification. The need fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56c7d921fe4f9663d88af2815d8ff8c3
https://doi.org/10.3390/electronics12040896
https://doi.org/10.3390/electronics12040896
Publikováno v:
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bac211ca3a4de3072135f7f82f5add3
https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00054
https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00054
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
Autor:
Renuga Kanagavelu
Increasing popularity of cloud computing and server virtualization has led to large Data Centers with tens of thousands of servers interconnected by a network. In a Data Center, server resources are shared by a number of Virtual Machines (VMs) and ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4843ae184996ce2cd1926c71d8017f8c
https://doi.org/10.32657/10356/62165
https://doi.org/10.32657/10356/62165
Autor:
Khin Mi Mi Aung, Renuga Kanagavelu
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030034047
Internet of Things (IoT) is an emerging technology where tens of billions of devices that include everything from small wearable fitness bands, medical devices, smart devices to factory automobiles can be connected to the Internet which makes the lif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f736c6d212e0d5ab57d26dd738a39364
https://doi.org/10.1007/978-3-030-03405-4_39
https://doi.org/10.1007/978-3-030-03405-4_39