{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T22:32:47Z","timestamp":1780439567053,"version":"3.54.1"},"reference-count":36,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bigdata.2018.8622598","type":"proceedings-article","created":{"date-parts":[[2019,1,25]],"date-time":"2019-01-25T03:07:18Z","timestamp":1548385638000},"page":"1178-1187","source":"Crossref","is-referenced-by-count":169,"title":["When Machine Learning Meets Blockchain: A Decentralized, Privacy-preserving and Secure Design"],"prefix":"10.1109","author":[{"given":"Xuhui","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinlong","family":"Ji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changqing","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weixian","family":"Liao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","author":"wood","year":"2017","journal-title":"Ethereum a secure decentralized transaction ledger (2014)"},{"key":"ref32","author":"lecun","year":"2010","journal-title":"MNIST Handwritten Digit Database"},{"key":"ref31","author":"dheeru","year":"2017","journal-title":"UCI Machine Learning Repository"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2740569"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2851611"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8485890"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2786307"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813677"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.1982.38"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1409620.1409624"},{"key":"ref13","first-page":"555","article-title":"Learning privately from multiparty data","author":"hamm","year":"0"},{"key":"ref14","first-page":"933","article-title":"A differentially private stochastic gradient descent algorithm for multiparty classification","author":"rajkumar","year":"2012","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref15","first-page":"4675","article-title":"Safetynets: Verifiable execution of deep neural networks on an untrusted cloud","author":"ghodsi","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref16","article-title":"Modelchain: Decentralized privacy-preserving healthcare predictive modeling framework on private blockchain networks","author":"kuo","year":"2018","journal-title":"arXiv preprint arxiv 1802 05807"},{"key":"ref17","first-page":"1","article-title":"Ethereum: A secure decentralised generalised transaction ledger","volume":"151","author":"wood","year":"2014","journal-title":"Ethereum Project Yellow Paper"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/jcaf.22179"},{"key":"ref19","first-page":"119","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","author":"blanchard","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/BigDataCongress.2017.85"},{"key":"ref4","article-title":"Channel state information prediction for 5g wireless communications: A deep learning approach","author":"luo","year":"2018","journal-title":"IEEE Transactions on Network Science and Engineering"},{"key":"ref27","first-page":"258","article-title":"Proofs of work and bread pudding protocols","author":"jakobsson","year":"1999","journal-title":"Information and Network Security"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2017.7897240"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/974121.974131"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref5","author":"de prado","year":"2018","journal-title":"Advances in financial machine learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2017.2787198"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.109"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3233547.3233566"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2017.2679760"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0168-1699(95)98601-9"},{"key":"ref20","article-title":"Byzantine-tolerant machine learning","author":"blanchard","year":"2017","journal-title":"arXiv preprint arXiv 1703 06870"},{"key":"ref22","article-title":"Draco: Robust distributed training against adversaries","author":"chen","year":"2018"},{"key":"ref21","article-title":"Zeno: Byzantine-suspicious stochastic gradient descent","author":"xie","year":"2018","journal-title":"arXiv preprint arXiv 1805 10032"},{"key":"ref24","article-title":"Bitcoin: A peer-to-peer electronic cash system","author":"nakamoto","year":"2008"},{"key":"ref23","article-title":"Generalized byzantine-tolerant sgd","author":"xie","year":"2018","journal-title":"arXiv preprint arXiv 1802 10363"},{"key":"ref26","article-title":"Untangling blockchain: A data processing view of blockchain systems","author":"dinh","year":"2017","journal-title":"arXiv preprint arXiv 1708 05227"},{"key":"ref25","first-page":"6","article-title":"Blockchain technology: Beyond bitcoin","volume":"2","author":"crosby","year":"2016","journal-title":"Applying Innovation"}],"event":{"name":"2018 IEEE International Conference on Big Data (Big Data)","location":"Seattle, WA, USA","start":{"date-parts":[[2018,12,10]]},"end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8610059\/8621858\/08622598.pdf?arnumber=8622598","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T22:43:10Z","timestamp":1643236990000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8622598\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2018.8622598","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}