{"id":"https://openalex.org/W4403510915","doi":"https://doi.org/10.1109/mce.2024.3482712","title":"Blockchain-Empowered Resilient Attack Defense in Federated Learning for Consumer Electronics","display_name":"Blockchain-Empowered Resilient Attack Defense in Federated Learning for Consumer Electronics","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4403510915","doi":"https://doi.org/10.1109/mce.2024.3482712"},"language":"en","primary_location":{"id":"doi:10.1109/mce.2024.3482712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mce.2024.3482712","pdf_url":null,"source":{"id":"https://openalex.org/S2483040032","display_name":"IEEE Consumer Electronics Magazine","issn_l":"2162-2248","issn":["2162-2248","2162-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Consumer Electronics Magazine","raw_type":"journal-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/A5100634408","display_name":"Jinhua Chen","orcid":"https://orcid.org/0000-0003-0209-8913"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jinhua Chen","raw_affiliation_strings":["Hosei University, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036945704","display_name":"Chinmay Chakraborty","orcid":"https://orcid.org/0000-0002-4385-0975"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chinmay Chakraborty","raw_affiliation_strings":["Birla Institute of Technology, India"],"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology, India","institution_ids":["https://openalex.org/I115715567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035125196","display_name":"Osama Alfarraj","orcid":"https://orcid.org/0000-0001-6111-8617"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Osama Alfarraj","raw_affiliation_strings":["King Saud University, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Saud University, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004131475","display_name":"Amr Tolba","orcid":"https://orcid.org/0000-0003-3439-6413"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Amr Tolba","raw_affiliation_strings":["King Saud University, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Saud University, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015952277","display_name":"Qiaozhi Hua","orcid":"https://orcid.org/0000-0002-5999-4498"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiaozhi Hua","raw_affiliation_strings":["Hubei Longzhong Laboratory, China"],"affiliations":[{"raw_affiliation_string":"Hubei Longzhong Laboratory, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076994242","display_name":"Keping Yu","orcid":"https://orcid.org/0000-0001-5735-2507"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keping Yu","raw_affiliation_strings":["Hosei University, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100634408"],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67865569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":"1","first_page":"83","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9771999716758728,"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":0.9771999716758728,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9589999914169312,"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-security","display_name":"Computer security","score":0.6364628076553345},{"id":"https://openalex.org/keywords/blockchain","display_name":"Blockchain","score":0.608453631401062},{"id":"https://openalex.org/keywords/electronics","display_name":"Electronics","score":0.5452783703804016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49510279297828674},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1294299066066742},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.052999645471572876}],"concepts":[{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6364628076553345},{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.608453631401062},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.5452783703804016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49510279297828674},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1294299066066742},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.052999645471572876}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mce.2024.3482712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mce.2024.3482712","pdf_url":null,"source":{"id":"https://openalex.org/S2483040032","display_name":"IEEE Consumer Electronics Magazine","issn_l":"2162-2248","issn":["2162-2248","2162-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Consumer Electronics Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2807778395","https://openalex.org/W3116036704","https://openalex.org/W3135590557","https://openalex.org/W3173677040","https://openalex.org/W3199788090","https://openalex.org/W3202281568","https://openalex.org/W4285166740","https://openalex.org/W4308650960","https://openalex.org/W4312224516","https://openalex.org/W4323519324","https://openalex.org/W4379409156","https://openalex.org/W4385567819","https://openalex.org/W4392152354"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4210406818","https://openalex.org/W4306779889","https://openalex.org/W3048554917","https://openalex.org/W3211706803","https://openalex.org/W4382775358","https://openalex.org/W4246942721","https://openalex.org/W3209862047"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"empowers":[3],"consumer":[4,42,64,107,123],"electronics,":[5,124],"making":[6],"daily":[7],"life":[8],"more":[9],"convenient,":[10],"but":[11],"it":[12],"also":[13,88],"introduces":[14,58],"potential":[15],"privacy":[16],"risks.":[17],"Governments":[18],"worldwide":[19],"have":[20],"implemented":[21],"stringent":[22],"data":[23],"regulations":[24,37],"to":[25,52,80,95],"protect":[26,81],"individual":[27],"privacy.":[28],"Federated":[29],"learning":[30],"(FL)":[31],"helps":[32],"AI":[33,66],"comply":[34],"with":[35,77,126],"these":[36],"and":[38,50,92,137],"continuously":[39],"evolve":[40],"in":[41,85,104,122],"electronics.":[43,108],"However,":[44],"FL":[45,61,105,120],"faces":[46],"significant":[47],"structural":[48,136],"issues":[49],"vulnerabilities":[51],"parameter":[53],"pollution":[54],"attacks.":[55],"This":[56,132],"article":[57],"a":[59,71],"novel":[60],"approach":[62,114],"for":[63,106],"electronics":[65],"applications.":[67],"Our":[68],"proposal":[69],"features":[70],"blockchain-empowered":[72],"decentralized":[73],"trust":[74],"mechanism":[75],"combined":[76],"fault":[78,139],"defenses":[79],"against":[82],"malicious":[83,130],"nodes":[84],"FL.":[86],"We":[87],"utilize":[89],"knowledge":[90],"distillation":[91],"meta-learning":[93],"techniques":[94],"thwart":[96],"poisoning":[97],"attacks,":[98],"ensuring":[99],"the":[100,117,134,142],"integrity":[101,118],"of":[102,119,129,141],"computations":[103],"Experimental":[109],"results":[110],"demonstrate":[111],"that":[112],"our":[113],"effectively":[115],"preserves":[116],"processes":[121],"even":[125],"over":[127],"50%":[128],"nodes.":[131],"highlights":[133],"robust":[135],"computational":[138],"tolerance":[140],"proposed":[143],"method.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
