{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T06:13:18Z","timestamp":1725862398610},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319429106"},{"type":"electronic","value":"9783319429113"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-42911-3_20","type":"book-chapter","created":{"date-parts":[[2016,8,9]],"date-time":"2016-08-09T04:01:34Z","timestamp":1470715294000},"page":"243-250","source":"Crossref","is-referenced-by-count":0,"title":["Distributed B-SDLM: Accelerating the Training Convergence of Deep Neural Networks Through Parallelism"],"prefix":"10.1007","author":[{"given":"Shan Sung","family":"Liew","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Khalil-Hani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rabia","family":"Bakhteri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,8,10]]},"reference":[{"issue":"1","key":"20_CR1","first-page":"1111","volume":"15","author":"A Agarwal","year":"2014","unstructured":"Agarwal, A., Chapelle, O., Dud\u00edk, M., Langford, J.: A reliable effective terascale linear learning system. J. Mach. Learn. Res. 15(1), 1111\u20131133 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"20_CR2","doi-asserted-by":"crossref","first-page":"1088","DOI":"10.1016\/j.asoc.2015.06.048","volume":"38","author":"Y Chen","year":"2016","unstructured":"Chen, Y., Yang, X., Zhong, B., Pan, S., Chen, D., Zhang, H.: CNNTracker: online discriminative object tracking via deep convolutional neural network. Appl. Soft Comput. 38, 1088\u20131098 (2016)","journal-title":"Appl. Soft Comput."},{"key":"20_CR3","unstructured":"Dean, J., Corrado, G., Monga, R., Chen, K., Devin, M., Mao, M., Ranzato, M., Senior, A., Tucker, P., Yang, K., Le, Q.V., Ng, A.Y.: Largescale distributed deep networks, pp. 1223\u20131231. Curran Associates, Inc. (2012)"},{"key":"20_CR4","doi-asserted-by":"crossref","DOI":"10.1002\/9780470932025","volume-title":"Algorithms and Parallel Computing","author":"F Gebali","year":"2011","unstructured":"Gebali, F.: Algorithms and Parallel Computing, vol. 84. Wiley, New York (2011)"},{"issue":"11","key":"20_CR5","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"20_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/978-3-642-35289-8_3","volume-title":"Neural Networks: Tricks of the Trade","author":"YA LeCun","year":"2012","unstructured":"LeCun, Y.A., Bottou, L., Orr, G.B., M\u00fcller, K.-R.: Efficient BackProp. In: Montavon, G., Orr, G.B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 9\u201348. Springer, Heidelberg (2012)"},{"key":"20_CR7","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.neucom.2015.12.076","volume":"186","author":"SS Liew","year":"2016","unstructured":"Liew, S.S., Khalil-Hani, M., Bakhteri, R.: An optimized second order stochastic learning algorithm for neural network training. Neurocomputing 186, 74\u201389 (2016)","journal-title":"Neurocomputing"},{"key":"20_CR8","unstructured":"Zeiler, M.D.: ADADELTA: an adaptive learning rate method (2012). arXiv:1212.5701"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2016: Trends in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-42911-3_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T20:14:35Z","timestamp":1498335275000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-42911-3_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319429106","9783319429113"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-42911-3_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}