{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T20:03:40Z","timestamp":1730232220812,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,9]],"date-time":"2020-10-09T00:00:00Z","timestamp":1602201600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,9]],"date-time":"2020-10-09T00:00:00Z","timestamp":1602201600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,9]],"date-time":"2020-10-09T00:00:00Z","timestamp":1602201600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,9]]},"DOI":"10.1109\/icca51439.2020.9264316","type":"proceedings-article","created":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T21:36:44Z","timestamp":1606772204000},"page":"216-221","source":"Crossref","is-referenced-by-count":0,"title":["Asynchronous Stochastic Gradient Descent over Decentralized Datasets"],"prefix":"10.1109","author":[{"given":"Yubo","family":"Du","sequence":"first","affiliation":[]},{"given":"Keyou","family":"You","sequence":"additional","affiliation":[]},{"given":"Yilin","family":"Mo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"4848","article-title":"D2: Decentralized training over decentralized data","volume":"80","author":"tang","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning"},{"key":"ref11","first-page":"361","article-title":"RCV1: A new benchmark collection for text categorization research","volume":"5","author":"lewis","year":"2004","journal-title":"Journal of Machine Learning Research"},{"key":"ref12","first-page":"583","article-title":"Scaling distributed machine learning with the parameter server","author":"li","year":"2014","journal-title":"Proceedings of the 11th USENIX Conference on Operating Systems Design and Implementation"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-010-0420-4"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2010.2079650"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2016247"},{"key":"ref17","first-page":"3581","article-title":"Asynchronous gossip algorithms for stochastic optimization","author":"ram","year":"2009","journal-title":"Proceedings of the 48h IEEE Conference on Decision and Control (CDC) Held Jointly with 2009 28th Chinese Control Conference"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.874516"},{"key":"ref4","first-page":"693","article-title":"Hogwild: A lock-free approach to parallelizing stochastic gradient descent","author":"recht","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref3","first-page":"873","article-title":"Distributed delayed stochastic optimization","author":"agarwal","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref6","first-page":"2350","article-title":"Staleness-aware async-sgd for distributed deep learning","author":"zhang","year":"2016","journal-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence"},{"key":"ref5","first-page":"1223","article-title":"More effective distributed ml via a stale synchronous parallel parameter server","author":"ho","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref8","first-page":"1548","article-title":"Parallel and distributed block-coordinate frank-wolfe algorithms","author":"wang","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref7","first-page":"285","article-title":"An asynchronous parallel stochastic coordinate descent algorithm","volume":"16","author":"liu","year":"2015","journal-title":"Journal of Machine Learning Research"},{"key":"ref2","volume":"23","author":"bertsekas","year":"1989","journal-title":"Parallel and Distributed Computation Numerical Methods"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02591967"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783412"}],"event":{"name":"2020 IEEE 16th International Conference on Control & Automation (ICCA)","start":{"date-parts":[[2020,10,9]]},"location":"Singapore","end":{"date-parts":[[2020,10,11]]}},"container-title":["2020 IEEE 16th International Conference on Control &amp; Automation (ICCA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9264304\/9264308\/09264316.pdf?arnumber=9264316","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:19:18Z","timestamp":1656375558000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9264316\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,9]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/icca51439.2020.9264316","relation":{},"subject":[],"published":{"date-parts":[[2020,10,9]]}}}