{"id":"https://openalex.org/W4406267427","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757817","title":"Incentive Mechanism Design in Semi-Asynchronous Blockchain-based Federated Learning","display_name":"Incentive Mechanism Design in Semi-Asynchronous Blockchain-based Federated Learning","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4406267427","doi":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757817"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2024-fall63153.2024.10757817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","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/A5021729883","display_name":"Xuanzhang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xuanzhang Liu","raw_affiliation_strings":["Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA"],"affiliations":[{"raw_affiliation_string":"Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091693877","display_name":"Jiyao Liu","orcid":"https://orcid.org/0009-0005-6778-8546"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiyao Liu","raw_affiliation_strings":["Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA"],"affiliations":[{"raw_affiliation_string":"Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060069798","display_name":"Xinliang Wei","orcid":"https://orcid.org/0000-0001-9136-2178"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinliang Wei","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China,518055"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China,518055","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445368","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-3511-0288"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA"],"affiliations":[{"raw_affiliation_string":"Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021729883"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.6813,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77549872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976000189781189,"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":0.9976000189781189,"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":0.989799976348877,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9891999959945679,"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":0.9600126147270203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7300878763198853},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7169439792633057},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6886101365089417},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.6392048597335815},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6284595131874084},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36461979150772095},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3487083911895752},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2603086829185486},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.07772395014762878}],"concepts":[{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.9600126147270203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7300878763198853},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7169439792633057},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6886101365089417},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.6392048597335815},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6284595131874084},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36461979150772095},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3487083911895752},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2603086829185486},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.07772395014762878},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2024-fall63153.2024.10757817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2024-fall63153.2024.10757817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2355932053","https://openalex.org/W2366296021","https://openalex.org/W2382571223","https://openalex.org/W4235983279","https://openalex.org/W3123416035","https://openalex.org/W2947640074","https://openalex.org/W2388473457","https://openalex.org/W2366934955","https://openalex.org/W2390712896","https://openalex.org/W2182763921"],"abstract_inverted_index":{"In":[0,54],"a":[1,64,81,91,96],"blockchain-based":[2,66],"federated":[3],"learning":[4],"(FL)":[5],"framework,":[6],"clients":[7,76],"can":[8],"contribute":[9],"private":[10],"data":[11],"or":[12,20,34],"computing":[13],"resources":[14],"to":[15,39,47,113],"the":[16,25,59,71,86,106,115,126],"overall":[17],"FL":[18,67],"training":[19,33,50],"mining":[21,52],"task.":[22],"To":[23],"overcome":[24],"impractical":[26],"assumption":[27],"that":[28,44],"participants":[29,46],"will":[30],"voluntarily":[31],"join":[32],"mining,":[35],"it":[36],"is":[37],"crucial":[38],"design":[40,62],"an":[41,101],"incentive":[42,60],"mechanism":[43,61,74],"motivates":[45],"achieve":[48,114],"optimal":[49,116],"and":[51,77,84,88,128],"outcomes.":[53],"this":[55],"paper,":[56],"we":[57],"investigate":[58],"for":[63,118],"semi-asynchronous":[65],"system.":[68],"We":[69,98],"model":[70],"resource":[72],"pricing":[73],"among":[75],"task":[78],"publishers":[79],"as":[80],"Stackelberg":[82],"game,":[83],"prove":[85],"existence":[87],"uniqueness":[89],"of":[90,110,130],"Nash":[92],"equilibrium":[93],"in":[94],"such":[95],"game.":[97],"then":[99],"propose":[100],"iterative":[102],"algorithm":[103],"based":[104],"on":[105],"Alternating":[107],"Direction":[108],"Method":[109],"Multipliers":[111],"(ADMM)":[112],"strategies":[117],"each":[119],"participant.":[120],"Finally,":[121],"our":[122,131],"simulation":[123],"results":[124],"verify":[125],"convergence":[127],"efficiency":[129],"proposed":[132],"scheme.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}