{"id":"https://openalex.org/W4386709676","doi":"https://doi.org/10.1145/3605573.3605592","title":"Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain","display_name":"Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4386709676","doi":"https://doi.org/10.1145/3605573.3605592"},"language":"en","primary_location":{"id":"doi:10.1145/3605573.3605592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605573.3605592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd International Conference on Parallel Processing","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/A5082353823","display_name":"Mengyao Du","orcid":"https://orcid.org/0000-0002-9560-2869"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyao Du","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-9560-2869","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101836488","display_name":"Miao Zhang","orcid":"https://orcid.org/0000-0003-1839-3079"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Zhang","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-1839-3079","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383303","display_name":"Lin Liu","orcid":"https://orcid.org/0000-0002-5930-8881"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Liu","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-5930-8881","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021481941","display_name":"Kai Xu","orcid":"https://orcid.org/0000-0002-7442-2383"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Xu","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-7442-2383","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100610161","display_name":"Quanjun Yin","orcid":"https://orcid.org/0000-0002-1633-174X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanjun Yin","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-1633-174X","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.6452,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75116584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"452","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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":0.9975000023841858,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9894000291824341,"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/blockchain","display_name":"Blockchain","score":0.9623144865036011},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7969028353691101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7661161422729492},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3661680221557617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33472704887390137},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.25001388788223267}],"concepts":[{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.9623144865036011},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7969028353691101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7661161422729492},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3661680221557617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33472704887390137},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25001388788223267}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605573.3605592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605573.3605592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd International Conference on Parallel Processing","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":25,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W2473418344","https://openalex.org/W2535690855","https://openalex.org/W2786602455","https://openalex.org/W2934843808","https://openalex.org/W2963334472","https://openalex.org/W3107632872","https://openalex.org/W3112689365","https://openalex.org/W3120176213","https://openalex.org/W3164573547","https://openalex.org/W3173677040","https://openalex.org/W3204984335","https://openalex.org/W3208660434","https://openalex.org/W3211010549","https://openalex.org/W4213446860","https://openalex.org/W4221140101","https://openalex.org/W4285074441","https://openalex.org/W4287723974","https://openalex.org/W4289656845","https://openalex.org/W4294733424","https://openalex.org/W4306931546","https://openalex.org/W4313829173","https://openalex.org/W4317815242","https://openalex.org/W4327873626","https://openalex.org/W6780907178"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4210406818","https://openalex.org/W4306779889","https://openalex.org/W4386732777","https://openalex.org/W3211706803","https://openalex.org/W4382775358","https://openalex.org/W4246942721","https://openalex.org/W3209862047","https://openalex.org/W4304136894"],"abstract_inverted_index":{"By":[0],"encapsulating":[1],"model":[2,83],"parameters":[3],"in":[4,38,54,93],"blocks":[5],"when":[6],"training":[7],"machine":[8],"learning":[9,24],"models":[10,34],"collaboratively,":[11],"blockchain":[12,39],"is":[13,91],"recognized":[14],"as":[15,45],"a":[16,26,78,189],"promising":[17],"enabling":[18],"technology":[19],"to":[20,130,152],"facilitate":[21],"reliable":[22,118],"federated":[23],"under":[25],"distributed":[27,56],"and":[28,72,104,110,117,164,169,208],"untrusted":[29],"environment.":[30],"However,":[31],"storing":[32],"updated":[33],"of":[35,62,112,128,145],"each":[36],"worker":[37],"induces":[40],"potential":[41],"privacy":[42,71,103,148,162,170,205],"risks,":[43],"such":[44],"membership":[46],"inference":[47],"attacks.":[48],"Besides,":[49],"the":[50,55,60,70,100,108,126,143,197],"volatile":[51],"network":[52],"conditions":[53],"environment":[57],"may":[58],"cause":[59],"deterioration":[61],"system":[63,132,210],"robustness.":[64,211],"This":[65],"paper":[66],"aims":[67],"at":[68],"addressing":[69],"robustness":[73,133],"issues":[74],"mentioned":[75],"above.":[76],"Specifically,":[77],"Credit-based":[79],"Differential":[80],"Privacy":[81],"stochastic":[82],"aggregation":[84],"algorithm":[85,181],"combined":[86],"with":[87,188,196],"SIGN":[88],"operation":[89],"(Cre-DPSIGN)":[90],"adopted":[92],"our":[94,180],"peer-to-peer":[95],"network,":[96],"which":[97],"can":[98,150,182],"realize":[99],"trade-off":[101],"between":[102],"accuracy.":[105],"Furthermore,":[106],"leveraging":[107],"transparency":[109],"tamper-proofing":[111],"blockchain,":[113],"we":[114,139,156],"design":[115],"practical":[116],"smart":[119],"contracts":[120],"for":[121],"unbiased":[122,160],"sampling":[123],"based":[124],"on":[125,175],"credit":[127],"workers":[129],"improve":[131],"against":[134],"Byzantine":[135],"workers.":[136],"In":[137],"addition,":[138],"have":[140,157,165],"demonstrated":[141],"that":[142,179],"use":[144],"biased":[146],"differential":[147,161],"mechanisms":[149,163],"lead":[151],"performance":[153],"degradation.":[154],"Therefore,":[155],"introduced":[158],"two":[159],"proven":[166],"their":[167],"convergence":[168],"guarantee.":[171],"Extensive":[172],"experiments":[173],"conducted":[174],"MNIST":[176],"datasets":[177],"show":[178],"achieve":[183],"byzantine":[184],"fault":[185],"tolerance":[186],"rate":[187],"private":[190],"loss":[191,206],"\u03f5":[192],"=":[193],"0.4.":[194],"Compared":[195],"state-of-the-art,":[198],"aka":[199],"DP-RSA":[200],"(IJCAI-22),":[201],"Cre-DPSIGN":[202],"shows":[203],"lower":[204],"consumption":[207],"better":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}