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dc.contributor.authorYan, Donghuivi
dc.contributor.otherWang, Yingjievi
dc.contributor.otherWang, Jinvi
dc.contributor.otherWu, Guodongvi
dc.contributor.otherWang, Honggangvi
dc.date.accessioned2020-12-03T07:22:34Z-
dc.date.available2020-12-03T07:22:34Z-
dc.date.issued2019-
dc.identifier.urihttp://tailieuso.tlu.edu.vn/handle/DHTL/9837-
dc.description.abstractThe last decades have seen a surge of interests in distributed computing thanks to advances in clustered computing and big data technology. Existing distributed algorithms typically assume all the data are already in one place, and divide the data and conquer on multiple machines. However, it is increasingly often that the data are located at a number of distributed sites, and one wishes to compute over all the data with low communication overhead. For spectral clustering, we propose a novel framework that enables its computation over such distributed data, with “minimal” communications while a major speedup in computation. The loss in accuracy is negligible compared to the non-distributed setting. Our approach allows local parallel computing at where the data are located, thus turns the distributed nature of the data into a blessing; the speedup is most substantial when the data are evenly distributed across sites. Experiments on synthetic and large UC Irvine datasets show almost no loss in accuracy with our approach while a 2x speedup under all settings we have explored. As the transmitted data need not be in their original form, our framework readily addresses the privacy concern for data sharing in distributed computing.vi
dc.description.urihttps://doi.org/10.1109/TBDATA.2019.2907985vi
dc.languageenvi
dc.publisherIEEE Xplorevi
dc.relation.ispartofseriesIEEE TRANSACTIONS ON BIG DATA (UNDER REIEW), (2019), pp 12vi
dc.subjectSpectral clusteringvi
dc.subjectdistributed datavi
dc.subjectdata sharingvi
dc.subjectcommunication efficientvi
dc.subjectdistortion minimizing local transformationvi
dc.titleFast Communication-efficient Spectral Clustering Over Distributed Datavi
dc.typeBBvi
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