{"id":"https://openalex.org/W3048859808","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162958","title":"Signal Recognition Based On Federated Learning","display_name":"Signal Recognition Based On Federated Learning","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3048859808","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162958","mag":"3048859808"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps50562.2020.9162958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5103187217","display_name":"Jibo Shi","orcid":"https://orcid.org/0000-0001-9694-0790"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jibo Shi","raw_affiliation_strings":["College of Information and Communication, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070909438","display_name":"Haojun Zhao","orcid":"https://orcid.org/0000-0003-2578-9733"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojun Zhao","raw_affiliation_strings":["College of Information and Communication, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622664","display_name":"Meiyu Wang","orcid":"https://orcid.org/0000-0003-2025-721X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyu Wang","raw_affiliation_strings":["College of Information and Communication, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018710096","display_name":"Qiao Tian","orcid":"https://orcid.org/0000-0001-8177-7724"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Tian","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103187217"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":1.9207,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88921308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1105","last_page":"1110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8194095492362976},{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.6928964853286743},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5972796678543091},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5926631093025208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5923455953598022},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5182169079780579},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4765920341014862},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4463620185852051},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3522990942001343},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3373137414455414},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13265210390090942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8194095492362976},{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.6928964853286743},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5972796678543091},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5926631093025208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5923455953598022},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5182169079780579},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4765920341014862},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4463620185852051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3522990942001343},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3373137414455414},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13265210390090942},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps50562.2020.9162958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W27961112","https://openalex.org/W2272847350","https://openalex.org/W2579186979","https://openalex.org/W2772387500","https://openalex.org/W2899086481","https://openalex.org/W2908997014","https://openalex.org/W2912213068","https://openalex.org/W2916238263","https://openalex.org/W2920095265","https://openalex.org/W2957287280","https://openalex.org/W2963318081","https://openalex.org/W3080796432","https://openalex.org/W4293363185","https://openalex.org/W4297687186","https://openalex.org/W6601146891","https://openalex.org/W6732298257","https://openalex.org/W6757355660"],"related_works":["https://openalex.org/W1996543123","https://openalex.org/W4388516297","https://openalex.org/W2010761432","https://openalex.org/W4389302182","https://openalex.org/W4229074657","https://openalex.org/W2089955640","https://openalex.org/W1978322239","https://openalex.org/W2146363836","https://openalex.org/W4285175290","https://openalex.org/W2070047532"],"abstract_inverted_index":{"Signal":[0],"modulation":[1,110],"recognition":[2,37,111,123],"is":[3,15,84,125],"widely":[4],"used":[5],"in":[6,35],"spectrum":[7],"detection,":[8],"channel":[9],"estimation,":[10],"and":[11,14,22,57,63,79,116,131],"interference":[12],"recognition,":[13],"a":[16,49,96],"prerequisite":[17],"step":[18],"for":[19],"signal":[20,36,109],"decoding":[21],"demodulation.":[23],"With":[24],"the":[25,43,76,117],"development":[26],"of":[27,45,52,80],"artificial":[28],"intelligence,":[29],"great":[30],"progress":[31],"has":[32],"been":[33],"made":[34],"using":[38],"deep":[39,46,89],"learning":[40,47,90,93],"methods.":[41],"However,":[42],"method":[44],"requires":[48],"large":[50],"amount":[51],"data.":[53],"Today,":[54],"with":[55],"more":[56,58],"emphasis":[59],"on":[60,113],"data":[61,72,77,132],"privacy":[62,129],"security":[64],"protection,":[65],"there":[66],"are":[67],"usually":[68],"hard-to-break":[69],"barriers":[70],"between":[71],"sources.":[73],"This":[74],"makes":[75],"limited":[78],"poor":[81],"quality,":[82],"which":[83],"not":[85],"enough":[86],"to":[87,99],"support":[88],"training.":[91],"Federated":[92],"may":[94],"be":[95],"feasible":[97],"direction":[98],"solve":[100],"this":[101,104],"problem.":[102],"In":[103],"article,":[105],"we":[106],"will":[107],"discuss":[108],"based":[112],"federated":[114],"learning,":[115],"results":[118],"show":[119],"that":[120],"an":[121],"acceptable":[122],"rate":[124],"achieved":[126],"while":[127],"satisfying":[128],"protection":[130],"security.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}