{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:16:40Z","timestamp":1766067400478,"version":"3.37.3"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/icc42927.2021.9500737","type":"proceedings-article","created":{"date-parts":[[2021,8,6]],"date-time":"2021-08-06T20:49:21Z","timestamp":1628282961000},"page":"1-6","source":"Crossref","is-referenced-by-count":8,"title":["DAG-FL: Direct Acyclic Graph-based Blockchain Empowers On-Device Federated Learning"],"prefix":"10.1109","author":[{"given":"Mingrui","family":"Cao","sequence":"first","affiliation":[]},{"given":"Bin","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Hong","sequence":"additional","affiliation":[]},{"given":"Zhongyuan","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Xiang","family":"Bai","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2020.07.002"},{"key":"ref11","first-page":"1","article-title":"Flchain: Federated learning via mecenabled blockchain network","author":"majeed","year":"2019","journal-title":"Proc 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)"},{"key":"ref12","article-title":"Bitcoin: A peer-to-peer electronic cash system","author":"nakamoto","year":"2019","journal-title":"Manubot Tech Rep"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.2991994"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1900002"},{"article-title":"The tangle","year":"2018","author":"popov","key":"ref15"},{"article-title":"Federated learning for mobile keyboard prediction","year":"2018","author":"hard","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2921755"},{"article-title":"Asynchronous federated optimization","year":"2019","author":"xie","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref8","first-page":"2938","article-title":"How to backdoor federated learning","volume":"108","author":"bagdasaryan","year":"2020","journal-title":"Proc 23rd International Conference on Artificial Intelligence and Statistics"},{"key":"ref7","first-page":"3043","article-title":"Asynchronous decentralized parallel stochastic gradient descent","volume":"80","author":"lian","year":"2018","journal-title":"Proc 2018 35th International Conference on Machine Learning"},{"key":"ref2","article-title":"Federated learning: Collaborative machine learning without centralized training data","volume":"3","author":"mcmahan","year":"2017","journal-title":"Google Research Blog"},{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume":"54","author":"mcmahan","year":"2017","journal-title":"Proc 20th International Conference on Artificial Intelligence and Statistics"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom\/BigDataSE.2019.00057"}],"event":{"name":"ICC 2021 - IEEE International Conference on Communications","start":{"date-parts":[[2021,6,14]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2021,6,23]]}},"container-title":["ICC 2021 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9500243\/9500244\/09500737.pdf?arnumber=9500737","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:44:18Z","timestamp":1652197458000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9500737\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icc42927.2021.9500737","relation":{},"subject":[],"published":{"date-parts":[[2021,6]]}}}