{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T22:25:18Z","timestamp":1740176718907,"version":"3.37.3"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,3,8]],"date-time":"2018-03-08T00:00:00Z","timestamp":1520467200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Data Sci Anal"],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1007\/s41060-018-0110-5","type":"journal-article","created":{"date-parts":[[2018,3,8]],"date-time":"2018-03-08T02:48:43Z","timestamp":1520477323000},"page":"223-232","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Large-scale asynchronous distributed learning based on parameter exchanges"],"prefix":"10.1007","volume":"5","author":[{"given":"Bikash","family":"Joshi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Franck","family":"Iutzeler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9032-4233","authenticated-orcid":false,"given":"Massih-Reza","family":"Amini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,8]]},"reference":[{"key":"110_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9467-7","volume-title":"Convex Analysis and Monotone Operator Theory in Hilbert Spaces","author":"HH Bauschke","year":"2011","unstructured":"Bauschke, H.H., Combettes, P.L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces. Springer, New York (2011)"},{"key":"110_CR2","volume-title":"Parallel and Distributed Computation: Numerical Methods","author":"DP Bertsekas","year":"1999","unstructured":"Bertsekas, D.P., Tsitsiklis, J.N.: Parallel and Distributed Computation: Numerical Methods. Prentice-Hall Inc, Upper Saddle River (1999)"},{"key":"110_CR3","unstructured":"Chang, T., Hong, M., Liao, W., Wang, X.: Asynchronous distributed ADMM for large-scale optimization\u2014part I: algorithm and convergence analysis (2015). arXiv preprint arXiv:1509.02597"},{"key":"110_CR4","doi-asserted-by":"crossref","unstructured":"Chin, W.S., Zhuang, Y., Juan, Y.C., Lin, C.J.: A learning-rate schedule for stochastic gradient methods to matrix factorization. In: Advances in Knowledge Discovery and Data Mining, pp. 442\u2013455. Springer, Cham (2015)","DOI":"10.1007\/978-3-319-18038-0_35"},{"key":"110_CR5","unstructured":"Dean, J., Corrado, G., Monga, R., Chen, K., Devin, M., Mao, M., Senior, A., Tucker, P., Yang, K., Le, Q.V., et\u00a0al.: Large scale distributed deep networks. In: Advances in Neural Information Processing Systems, pp. 1223\u20131231 (2012)"},{"key":"110_CR6","unstructured":"Defazio, A., Bach, F., Lacoste-Julien, S.: Saga: A fast incremental gradient method with support for non-strongly convex composite objectives. In: Advances in Neural Information Processing Systems, pp. 1646\u20131654 (2014)"},{"key":"110_CR7","doi-asserted-by":"crossref","unstructured":"Gemulla, R., Nijkamp, E., Haas, P.J., Sismanis, Y.: Large-scale matrix factorization with distributed stochastic gradient descent. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 69\u201377. ACM (2011)","DOI":"10.1145\/2020408.2020426"},{"key":"110_CR8","unstructured":"Ho, Q., Cipar, J., Cui, H., Lee, S., Kim, J.K., Gibbons, P.B., Gibson, G.A., Ganger, G., Xing, E.P.: More effective distributed ml via a stale synchronous parallel parameter server. In: Advances in Neural Information Processing Systems, vol. 26, pp. 1223\u20131231 (2013)"},{"key":"110_CR9","unstructured":"Huo, Z., Huang, H.: Asynchronous stochastic gradient descent with variance reduction for non-convex optimization (2016). ArXiv preprint arXiv:1604.03584"},{"key":"110_CR10","unstructured":"Johnson, R., Zhang, T.: Accelerating stochastic gradient descent using predictive variance reduction. In: Advances in Neural Information Processing Systems, pp. 315\u2013323 (2013)"},{"issue":"8","key":"110_CR11","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42(8), 30\u201337 (2009)","journal-title":"Computer"},{"issue":"2","key":"110_CR12","doi-asserted-by":"publisher","first-page":"829","DOI":"10.1137\/140957639","volume":"25","author":"J Mairal","year":"2015","unstructured":"Mairal, J.: Incremental majorization-minimization optimization with application to large-scale machine learning. SIAM J. Optim. 25(2), 829\u2013855 (2015). https:\/\/doi.org\/10.1137\/140957639","journal-title":"SIAM J. Optim."},{"issue":"3","key":"110_CR13","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/s10115-013-0718-7","volume":"42","author":"F Makari","year":"2015","unstructured":"Makari, F., Teflioudi, C., Gemulla, R., Haas, P., Sismanis, Y.: Shared-memory and shared-nothing stochastic gradient descent algorithms for matrix completion. Knowl. Inf. Syst. 42(3), 493\u2013523 (2015)","journal-title":"Knowl. Inf. Syst."},{"key":"110_CR14","unstructured":"Roux, N.L., Schmidt, M., Bach, F.R.: A stochastic gradient method with an exponential convergence_rate for finite training sets. In: Advances in Neural Information Processing Systems, pp. 2663\u20132671 (2012)"},{"key":"110_CR15","unstructured":"Sra, S.: Scalable nonconvex inexact proximal splitting. In: Advances in Neural Information Processing Systems, vol. 25, pp. 530\u2013538 (2012)"},{"key":"110_CR16","unstructured":"Xu, Y., Yin, W.: A globally convergent algorithm for nonconvex optimization based on block coordinate update. (2014). ArXiv e-prints arXiv:1410.1386"},{"key":"110_CR17","doi-asserted-by":"crossref","unstructured":"Yu, Z.Q., Shi, X.J., Yan, L., Li, W.J.: Distributed stochastic ADMM for matrix factorization. In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, pp. 1259\u20131268. ACM (2014)","DOI":"10.1145\/2661829.2661996"},{"key":"110_CR18","unstructured":"Zhang, R., Zheng, S., Kwok, J.T.: Fast distributed asynchronous SGD with variance reduction. CoRR, arXiv:1508.01633 (2015)"},{"issue":"3","key":"110_CR19","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1137\/S1052623494250415","volume":"6","author":"DL Zhu","year":"1996","unstructured":"Zhu, D.L., Marcotte, P.: Co-coercivity and its role in the convergence of iterative schemes for solving variational inequalities. SIAM J. Optim. 6(3), 714\u2013726 (1996)","journal-title":"SIAM J. Optim."}],"container-title":["International Journal of Data Science and Analytics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s41060-018-0110-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-018-0110-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-018-0110-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T09:27:20Z","timestamp":1570872440000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s41060-018-0110-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,8]]},"references-count":19,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,6]]}},"alternative-id":["110"],"URL":"https:\/\/doi.org\/10.1007\/s41060-018-0110-5","relation":{},"ISSN":["2364-415X","2364-4168"],"issn-type":[{"type":"print","value":"2364-415X"},{"type":"electronic","value":"2364-4168"}],"subject":[],"published":{"date-parts":[[2018,3,8]]},"assertion":[{"value":"23 June 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}