{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T14:10:54Z","timestamp":1764079854653,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"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":[[2022,10,17]]},"DOI":"10.1109\/iecon49645.2022.9968358","type":"proceedings-article","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T13:45:34Z","timestamp":1670593534000},"page":"1-6","source":"Crossref","is-referenced-by-count":9,"title":["Fake News Detection using a Decentralized Deep Learning Model and Federated Learning"],"prefix":"10.1109","author":[{"given":"Nirosh","family":"Jayakody","sequence":"first","affiliation":[{"name":"Charles Sturt University,School of Computing and Mathematics,VIC,Australia,3000"}]},{"given":"Azeem","family":"Mohammad","sequence":"additional","affiliation":[{"name":"Charles Sturt University,School of Computing and Mathematics,VIC,Australia,3000"}]},{"given":"Malka N.","family":"Halgamuge","sequence":"additional","affiliation":[{"name":"RMIT University,Department of Information Systems and Business Analytics,Melbourne,VIC,Australia,3000"}]}],"member":"263","reference":[{"article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","year":"2017","author":"mcmahan","key":"ref10"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"107614","DOI":"10.1016\/j.asoc.2021.107614","article-title":"BerConvoNet: A deep learning framework for fake news classification","volume":"110","author":"choudhary","year":"2021","journal-title":"Applied Soft Computing"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"11 765","DOI":"10.1007\/s11042-020-10183-2","article-title":"FakeBERT: Fake news detection in social media with a BERT-based deep learning approach","volume":"80","author":"kaliyar","year":"2021","journal-title":"Multimedia Tools and Applications"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-020-03294-y"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-021-00738-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2021.3068519"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/KSE.2019.8919363"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1007\/s11069-020-04015-7","article-title":"Best optimizer selection for predicting bushfire occurrences using deep learning","author":"halgamuge","year":"2020","journal-title":"Natural Hazards"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"107600","DOI":"10.1016\/j.asoc.2021.107600","article-title":"Attention-based C-BiLSTM for fake news detection","volume":"110","author":"trueman","year":"2021","journal-title":"Applied Soft Computing"},{"key":"ref5","first-page":"349","author":"senthuran","year":"2019","journal-title":"Prediction of Cryptocurrency Market Price Using Deep Learning and Blockchain Information"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1007\/s10489-021-02345-y","article-title":"ConvNet frameworks for multi-modal fake news detection","author":"raj","year":"2021","journal-title":"Applied Intelligence"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.03.037"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2021\/5557784","article-title":"Fake Detect: A Deep Learning Ensemble Model for Fake News Detection","volume":"2021","author":"aslam","year":"2021","journal-title":"Complexity"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3056079"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"27","DOI":"10.3390\/electronics10010027","article-title":"Internet Traffic Classification with Federated Learning","volume":"10","author":"mun","year":"2020","journal-title":"Electronics"}],"event":{"name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","start":{"date-parts":[[2022,10,17]]},"location":"Brussels, Belgium","end":{"date-parts":[[2022,10,20]]}},"container-title":["IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9968313\/9968303\/09968358.pdf?arnumber=9968358","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T14:38:32Z","timestamp":1672065512000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9968358\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/iecon49645.2022.9968358","relation":{},"subject":[],"published":{"date-parts":[[2022,10,17]]}}}