{"id":"https://openalex.org/W4226063087","doi":"https://doi.org/10.1109/ccis53392.2021.9754663","title":"Federal Learning Based COVID-19 Fake News Detection With Deep Self-Attention Network","display_name":"Federal Learning Based COVID-19 Fake News Detection With Deep Self-Attention Network","publication_year":2021,"publication_date":"2021-11-07","ids":{"openalex":"https://openalex.org/W4226063087","doi":"https://doi.org/10.1109/ccis53392.2021.9754663"},"language":"en","primary_location":{"id":"doi:10.1109/ccis53392.2021.9754663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis53392.2021.9754663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021001855","display_name":"Suyu Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Suyu Ouyang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663191","display_name":"Junping Du","orcid":"https://orcid.org/0000-0002-9402-3806"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Du","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053056359","display_name":"Benzhi Wang","orcid":"https://orcid.org/0000-0002-1091-0265"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benzhi Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604886","display_name":"Bowen Yu","orcid":"https://orcid.org/0000-0002-6804-1859"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Yu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330356","display_name":"Yuhui Wang","orcid":"https://orcid.org/0000-0002-0467-8500"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056818951","display_name":"Meiyu Liang","orcid":"https://orcid.org/0000-0003-1835-1848"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyu Liang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021001855"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.363,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75329281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"296","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7984020709991455},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7375016808509827},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.7065735459327698},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7039039731025696},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6548197269439697},{"id":"https://openalex.org/keywords/premise","display_name":"Premise","score":0.6210757493972778},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.58046954870224},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.47846102714538574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4663284122943878},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4050676226615906},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3760131895542145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.337284117937088},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19740444421768188},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09318527579307556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7984020709991455},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7375016808509827},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.7065735459327698},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7039039731025696},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6548197269439697},{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.6210757493972778},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.58046954870224},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.47846102714538574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4663284122943878},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4050676226615906},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3760131895542145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.337284117937088},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19740444421768188},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09318527579307556},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis53392.2021.9754663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis53392.2021.9754663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2131744502","https://openalex.org/W2541884796","https://openalex.org/W2763572884","https://openalex.org/W2815470153","https://openalex.org/W2900120080","https://openalex.org/W2944575651","https://openalex.org/W2949397667","https://openalex.org/W2949522309","https://openalex.org/W3119042271","https://openalex.org/W3121099462","https://openalex.org/W3158799502","https://openalex.org/W4318619660"],"related_works":["https://openalex.org/W590788508","https://openalex.org/W4235873430","https://openalex.org/W2611974471","https://openalex.org/W4313233093","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"As":[0],"social":[1],"media":[2],"becomes":[3],"more":[4,6,14],"and":[5,32,79,109],"popular,":[7],"fake":[8,54,70,86,90,124],"news":[9,55,71,91,125],"spreads":[10],"rapidly":[11],"which":[12,73,131],"is":[13,94],"likely":[15],"to":[16,41,84],"cause":[17],"serious":[18],"consequences,":[19],"especially":[20],"during":[21],"the":[22,26,89,97,116,121,128,135],"COVID-19":[23,53,129],"pandemic.":[24],"On":[25],"premise":[27],"of":[28,99,123,138],"meeting":[29],"data":[30,40,107,140],"privacy":[31],"security":[33,108],"requirements,":[34],"federated":[35,101],"learning":[36,51],"uses":[37],"multi-party":[38],"heterogeneous":[39],"further":[42],"promote":[43],"machine":[44],"learning.":[45],"This":[46],"paper":[47],"proposes":[48],"a":[49,65],"federal":[50],"based":[52],"detection":[56,92,126],"model":[57,77,93,118],"with":[58],"deep":[59,66,80],"self-attention":[60,67],"network":[61,68,83],"(FL_FNDM).":[62],"We":[63],"construct":[64],"for":[69],"detection,":[72],"combines":[74],"self-attention-based":[75],"pretrained":[76],"BERT":[78],"convolutional":[81],"neural":[82],"detect":[85],"news.":[87],"Moreover,":[88],"learned":[95],"under":[96],"framework":[98],"horizontal":[100],"learning,":[102],"aiming":[103],"at":[104],"protecting":[105],"users\u2019":[106],"privacy.":[110],"The":[111],"experimental":[112],"results":[113],"demonstrate":[114],"that":[115],"proposed":[117],"can":[119,132],"improve":[120],"performance":[122],"on":[127],"dataset,":[130],"achieve":[133],"almost":[134],"same":[136],"effect":[137],"sharing":[139],"without":[141],"leaking":[142],"user":[143],"data.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
