{"id":"https://openalex.org/W4387870625","doi":"https://doi.org/10.1109/icc45041.2023.10278723","title":"An Attack-Resistant Federated Edge Learning Framework for Integrated Sensing, Computing and Communications System","display_name":"An Attack-Resistant Federated Edge Learning Framework for Integrated Sensing, Computing and Communications System","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4387870625","doi":"https://doi.org/10.1109/icc45041.2023.10278723"},"language":"en","primary_location":{"id":"doi:10.1109/icc45041.2023.10278723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10278723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006780454","display_name":"Guobing Zeng","orcid":"https://orcid.org/0000-0002-1901-8695"},"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":"Guobing Zeng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102890552","display_name":"Ronghui Zhang","orcid":"https://orcid.org/0000-0001-7838-0638"},"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":"Ronghui Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103192427","display_name":"Ning Gao","orcid":"https://orcid.org/0000-0001-7067-1211"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Gao","raw_affiliation_strings":["Southeast University,Nanjing,China","Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051198089","display_name":"Sheng Wu","orcid":"https://orcid.org/0000-0002-9947-9968"},"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":"Sheng Wu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005072193","display_name":"Chunxiao Jiang","orcid":"https://orcid.org/0000-0002-3703-121X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxiao Jiang","raw_affiliation_strings":["Tsinghua University,Beijing,China","Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027047483","display_name":"Xiaojun Jing","orcid":"https://orcid.org/0000-0003-2560-4364"},"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":"Xiaojun Jing","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China","Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"547","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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/T10237","display_name":"Cryptography and Data Security","score":0.9968000054359436,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.996399998664856,"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":0.7451092004776001},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5051289200782776},{"id":"https://openalex.org/keywords/traceability","display_name":"Traceability","score":0.49663954973220825},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48803940415382385},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4320671558380127},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4160923361778259},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4070467948913574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3315761685371399},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.09578606486320496},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08970892429351807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451092004776001},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5051289200782776},{"id":"https://openalex.org/C153876917","wikidata":"https://www.wikidata.org/wiki/Q899704","display_name":"Traceability","level":2,"score":0.49663954973220825},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48803940415382385},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4320671558380127},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4160923361778259},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4070467948913574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3315761685371399},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.09578606486320496},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08970892429351807},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45041.2023.10278723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10278723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2040519706","https://openalex.org/W2613503866","https://openalex.org/W2903356604","https://openalex.org/W2950821050","https://openalex.org/W2951832089","https://openalex.org/W2963456518","https://openalex.org/W2986949576","https://openalex.org/W3006017224","https://openalex.org/W3006655855","https://openalex.org/W3041971333","https://openalex.org/W3048715803","https://openalex.org/W3093881027","https://openalex.org/W3105714802","https://openalex.org/W3128989612","https://openalex.org/W3156129242","https://openalex.org/W3178176830","https://openalex.org/W3213070675","https://openalex.org/W4206779540","https://openalex.org/W4318619660","https://openalex.org/W6660760039","https://openalex.org/W6728757088","https://openalex.org/W6756840679","https://openalex.org/W6770634426","https://openalex.org/W6772307254","https://openalex.org/W6784820450","https://openalex.org/W6806884746"],"related_works":["https://openalex.org/W2378709054","https://openalex.org/W4380301954","https://openalex.org/W2803090313","https://openalex.org/W1482465488","https://openalex.org/W2052375654","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Integrated":[0],"sensing,":[1,19],"computing":[2,41],"and":[3,22,52,66,95,101,120,146],"communications":[4,53],"(ISC":[5],"<sup":[6,31],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[7,32],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[8,33],")":[9],"is":[10,113],"a":[11,27,60,74,86,103],"promising":[12],"technology":[13],"to":[14,73,115,141,148],"enable":[15],"both":[16],"physical-digital":[17],"spatial":[18],"intelligent":[20],"communication":[21],"computing.":[23],"This":[24],"paper":[25],"studies":[26],"federated":[28,107],"learning-assisted":[29],"ISC":[30],"system,":[34],"in":[35],"which":[36,91],"edge":[37,40,88],"nodes":[38],"coordinate":[39],"resource":[42],"for":[43,106],"model":[44,151],"training":[45],"based":[46,126],"on":[47,127],"their":[48],"local":[49,69],"integrated":[50],"sensing":[51],"(ISAC)":[54],"data.":[55],"In":[56],"the":[57,80,93,99,117,128,134],"process":[58],"of":[59,68,98,122,143,150],"completely":[61],"distributed":[62],"collaborative":[63],"training,":[64],"sharing":[65],"transmission":[67],"parameters":[70],"may":[71],"lead":[72],"serious":[75],"Byzantine":[76],"attack.":[77],"To":[78],"improve":[79,116],"system's":[81],"anti-attack":[82],"capability,":[83],"we":[84],"design":[85,102],"blockchain-federated":[87],"learning":[89],"framework,":[90],"utilizes":[92],"non-tampering":[94],"traceability":[96],"features":[97],"blockchain,":[100],"verification":[104],"algorithm":[105,112],"aggregation.":[108],"Particularly,":[109],"an":[110],"aggregation":[111],"designed":[114],"fitting":[118],"efficiency":[119],"accuracy":[121],"our":[123],"model.":[124],"Experiments":[125],"measured":[129],"ISAC":[130],"data":[131,144],"show":[132],"that":[133],"proposed":[135],"scheme":[136],"can":[137],"effectively":[138],"resist":[139],"up":[140,147],"30%":[142,149],"tampering":[145,152],"attacks.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
