{"id":"https://openalex.org/W4399283366","doi":"https://doi.org/10.1109/pais62114.2024.10541291","title":"Blockchain Sharding based Federated Learning Empowered with NFT-based Privacy-Preserving Model Sharing","display_name":"Blockchain Sharding based Federated Learning Empowered with NFT-based Privacy-Preserving Model Sharing","publication_year":2024,"publication_date":"2024-04-24","ids":{"openalex":"https://openalex.org/W4399283366","doi":"https://doi.org/10.1109/pais62114.2024.10541291"},"language":"en","primary_location":{"id":"doi:10.1109/pais62114.2024.10541291","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pais62114.2024.10541291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","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/A5055560108","display_name":"Rofaida Khemaissia","orcid":"https://orcid.org/0000-0002-4092-537X"},"institutions":[{"id":"https://openalex.org/I4210095290","display_name":"Universit\u00e9 Larbi T\u00e9bessi","ror":"https://ror.org/00tnac320","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210095290"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Rofaida Khemaissia","raw_affiliation_strings":["Echahid Cheikh Larbi Tebessi University,Laboratory of Mathematics, Informatics and Systems (LAMIS),Tebessa,Algeria,12002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Echahid Cheikh Larbi Tebessi University,Laboratory of Mathematics, Informatics and Systems (LAMIS),Tebessa,Algeria,12002","institution_ids":["https://openalex.org/I4210095290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085975641","display_name":"Makhlouf Derdour","orcid":"https://orcid.org/0000-0001-6622-4355"},"institutions":[{"id":"https://openalex.org/I3132180716","display_name":"Larbi Ben M'hidi University of Oum El Bouaghi","ror":"https://ror.org/0034tbg85","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3132180716"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Makhlouf Derdour","raw_affiliation_strings":["Larbi Ben M&#x2019;Hidi University,LIAOA Laboratory,Oum El Bouaghi,Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Larbi Ben M&#x2019;Hidi University,LIAOA Laboratory,Oum El Bouaghi,Algeria","institution_ids":["https://openalex.org/I3132180716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064158610","display_name":"Ala Djeddai","orcid":"https://orcid.org/0000-0002-9354-4108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ala Djeddai","raw_affiliation_strings":["Chadli Bendjedid El-Tarf University,Laboratory of Computer Science and Applied Mathematics,El Tarf,Algeria,36000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chadli Bendjedid El-Tarf University,Laboratory of Computer Science and Applied Mathematics,El Tarf,Algeria,36000","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0668,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76866086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11614","display_name":"Cloud Data Security Solutions","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/scalability","display_name":"Scalability","score":0.8502155542373657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8190927505493164},{"id":"https://openalex.org/keywords/blockchain","display_name":"Blockchain","score":0.7819550037384033},{"id":"https://openalex.org/keywords/single-point-of-failure","display_name":"Single point of failure","score":0.7427040934562683},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6977084875106812},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.5715893507003784},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5067132115364075},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49105238914489746},{"id":"https://openalex.org/keywords/data-sharing","display_name":"Data sharing","score":0.4806486666202545},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4332488477230072},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4289751648902893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3308572769165039},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2740279734134674},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.13590183854103088},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07141473889350891}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8502155542373657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8190927505493164},{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.7819550037384033},{"id":"https://openalex.org/C165136773","wikidata":"https://www.wikidata.org/wiki/Q1363179","display_name":"Single point of failure","level":2,"score":0.7427040934562683},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6977084875106812},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.5715893507003784},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5067132115364075},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49105238914489746},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.4806486666202545},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4332488477230072},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4289751648902893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3308572769165039},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2740279734134674},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.13590183854103088},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07141473889350891},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pais62114.2024.10541291","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pais62114.2024.10541291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","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":49,"referenced_works":["https://openalex.org/W1844512392","https://openalex.org/W2033356616","https://openalex.org/W2105685537","https://openalex.org/W2112796928","https://openalex.org/W2517744317","https://openalex.org/W2535104337","https://openalex.org/W2535838896","https://openalex.org/W2734941459","https://openalex.org/W2773194476","https://openalex.org/W2794533297","https://openalex.org/W2888487581","https://openalex.org/W2897676665","https://openalex.org/W2952994898","https://openalex.org/W2963819344","https://openalex.org/W2983640973","https://openalex.org/W3000385461","https://openalex.org/W3019166713","https://openalex.org/W3040325268","https://openalex.org/W3082060398","https://openalex.org/W3097745543","https://openalex.org/W3112885687","https://openalex.org/W3154144101","https://openalex.org/W3162358200","https://openalex.org/W3170553340","https://openalex.org/W3172555720","https://openalex.org/W3196377726","https://openalex.org/W3214261353","https://openalex.org/W3217639405","https://openalex.org/W4200390322","https://openalex.org/W4211068006","https://openalex.org/W4225552360","https://openalex.org/W4248175462","https://openalex.org/W4296442310","https://openalex.org/W4297060071","https://openalex.org/W4297687186","https://openalex.org/W4309400255","https://openalex.org/W4312327654","https://openalex.org/W4366678696","https://openalex.org/W4378471111","https://openalex.org/W4386766438","https://openalex.org/W4388683948","https://openalex.org/W4391468023","https://openalex.org/W6638711193","https://openalex.org/W6682904396","https://openalex.org/W6728757088","https://openalex.org/W6746388805","https://openalex.org/W6759625968","https://openalex.org/W6781175393","https://openalex.org/W6795551194"],"related_works":["https://openalex.org/W3196405711","https://openalex.org/W4392303055","https://openalex.org/W3187232590","https://openalex.org/W3216065934","https://openalex.org/W4285814369","https://openalex.org/W4385749934","https://openalex.org/W4312762663","https://openalex.org/W3195581271","https://openalex.org/W3201612435","https://openalex.org/W3112310000"],"abstract_inverted_index":{"Federated":[0],"learning":[1,10,57],"is":[2,44,51,84,193],"a":[3,34,143,153,172],"promising":[4],"approach":[5,147],"that":[6,90,148],"omits":[7],"the":[8,12,17,27,46,67,87,92,95,118,122,130,134,161,176],"central":[9],"of":[11,41,55,70,79,86,94,175],"collected":[13],"data":[14,48],"through":[15],"allowing":[16],"participating":[18],"nodes":[19,151,167],"to":[20,32,61,104,159],"learn":[21],"locally":[22],"their":[23],"model,":[24],"and":[25,75,133,152,164,182,188,199],"eventually":[26],"submitted":[28],"updates":[29],"are":[30],"aggregated":[31],"obtain":[33],"global":[35,123],"trained":[36],"model.":[37],"The":[38,190],"main":[39,88],"goal":[40],"this":[42,138],"process":[43,128],"maintaining":[45],"participant":[47],"privacy.":[49],"Blockchain":[50,81,106,145],"supported":[52],"by":[53],"lots":[54],"federated":[56,96],"applications":[58],"in":[59,157],"order":[60,158],"handle":[62],"many":[63],"issues":[64],"such":[65,113],"as":[66,114],"single":[68],"point":[69],"failure,":[71],"trust,":[72],"integrity,":[73],"privacy":[74],"security.":[76],"On":[77],"top":[78],"that,":[80],"scalability":[82,163],"issue":[83],"one":[85],"problems":[89],"affects":[91],"efficiency":[93],"leaning.":[97],"A":[98],"few":[99],"works":[100],"have":[101,110],"been":[102],"proposed":[103,191],"use":[105,180],"sharding,":[107],"yet":[108],"they":[109],"some":[111],"shortcomings":[112],"static":[115],"sharding.":[116],"Besides,":[117],"BC":[119],"approaches":[120],"marginalize":[121],"model":[124,131,177,185],"sharing":[125,186],"or":[126],"transfer":[127],"between":[129,187],"owner":[132],"task":[135],"requester.":[136],"In":[137,169],"work,":[139],"we":[140,179],"propose":[141],"FLBCShard":[142],"new":[144],"sharding":[146],"uses":[149],"proxy":[150],"dynamic":[154],"shard":[155],"formation":[156],"improve":[160],"system":[162],"improving":[165],"malicious":[166],"detection.":[168],"addition,":[170],"for":[171],"better":[173],"protection":[174],"ownership,":[178],"IPFS":[181],"NFT":[183],"based":[184],"transfer.":[189],"work":[192],"implemented":[194],"using":[195,201],"permissioned":[196],"Hyperledger":[197],"Fabric":[198],"evaluated":[200],"MNIST":[202],"dataset.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
