{"id":"https://openalex.org/W7084086592","doi":"https://doi.org/10.1109/iwqos65803.2025.11143425","title":"LLMCatalyst: A Novel Incentive Mechanism for Client-Assisted Foundation Model Training","display_name":"LLMCatalyst: A Novel Incentive Mechanism for Client-Assisted Foundation Model Training","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W7084086592","doi":"https://doi.org/10.1109/iwqos65803.2025.11143425"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos65803.2025.11143425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM 33rd International Symposium on Quality of Service (IWQoS)","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":null,"display_name":"Rongfei Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rongfei Zeng","raw_affiliation_strings":["Software College, Northeastern University"],"affiliations":[{"raw_affiliation_string":"Software College, Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mingyang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyang Zhao","raw_affiliation_strings":["Software College, Northeastern University"],"affiliations":[{"raw_affiliation_string":"Software College, Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinpeng Han","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinpeng Han","raw_affiliation_strings":["Software College, Northeastern University"],"affiliations":[{"raw_affiliation_string":"Software College, Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuanguo Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanguo Bi","raw_affiliation_strings":["Northeastern University,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Computer Science","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xingwei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingwei Wang","raw_affiliation_strings":["Northeastern University,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Computer Science","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49496574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T14323","display_name":"Agriculture, Water, and Health","score":0.09260000288486481,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14323","display_name":"Agriculture, Water, and Health","score":0.09260000288486481,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14405","display_name":"Fisheries and Aquaculture Studies","score":0.024299999698996544,"subfield":{"id":"https://openalex.org/subfields/1100","display_name":"General Agricultural and Biological Sciences"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11755","display_name":"Transboundary Water Resource Management","score":0.019500000402331352,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6876999735832214},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.4544000029563904},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4487999975681305},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.43619999289512634},{"id":"https://openalex.org/keywords/procurement","display_name":"Procurement","score":0.4350999891757965},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4284000098705292},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.41359999775886536},{"id":"https://openalex.org/keywords/vendor","display_name":"Vendor","score":0.40139999985694885},{"id":"https://openalex.org/keywords/bidding","display_name":"Bidding","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684000134468079},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6876999735832214},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.4350999891757965},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.41359999775886536},{"id":"https://openalex.org/C2777338717","wikidata":"https://www.wikidata.org/wiki/Q1762621","display_name":"Vendor","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3781999945640564},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.34700000286102295},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.34119999408721924},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.33869999647140503},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29269999265670776},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.2596000134944916},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos65803.2025.11143425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM 33rd International Symposium on Quality of Service (IWQoS)","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":21,"referenced_works":["https://openalex.org/W1580001677","https://openalex.org/W1877333218","https://openalex.org/W2029050771","https://openalex.org/W2102091746","https://openalex.org/W2116131875","https://openalex.org/W2802269386","https://openalex.org/W3012990321","https://openalex.org/W3017967519","https://openalex.org/W3088731039","https://openalex.org/W3156931242","https://openalex.org/W4282933047","https://openalex.org/W4288071417","https://openalex.org/W4386243267","https://openalex.org/W4386260530","https://openalex.org/W4387129547","https://openalex.org/W4389937392","https://openalex.org/W4391250546","https://openalex.org/W4393241230","https://openalex.org/W4401176258","https://openalex.org/W4401508206","https://openalex.org/W4401863519"],"related_works":[],"abstract_inverted_index":{"Large":[0],"foundation":[1],"models,":[2],"such":[3,130],"as":[4,10,131,148],"SORA":[5],"and":[6,13,92,115,138,159,192,201,206],"GPT-4,":[7],"have":[8,23,59],"emerged":[9],"a":[11,85,117,149,185,197],"mainstream":[12],"promising":[14],"trend":[15],"in":[16,52],"the":[17,26,63,70,95,107,144,175,216],"deep":[18],"learning":[19],"community.":[20],"Many":[21],"evidences":[22],"showcased":[24],"that":[25,84,122],"training":[27,114,136],"of":[28,39,66,98,111,126,177,218],"these":[29],"large":[30],"models":[31],"can":[32],"be":[33],"facilitated":[34],"by":[35],"leveraging":[36],"vast":[37],"numbers":[38],"consumer-grade":[40],"GPUs":[41,51],"from":[42,80],"client":[43,133,190],"devices,":[44],"rather":[45],"than":[46],"relying":[47],"solely":[48],"on":[49,62],"high-end":[50],"centralized":[53],"data":[54,211],"centers.":[55],"Although":[56],"previous":[57],"studies":[58,205],"primarily":[60],"focused":[61],"technical":[64],"aspects":[65],"client-assisted":[67,99,112,127],"model":[68,100,113,128],"training,":[69,129],"incentive":[71,87,108,145],"mechanisms":[72],"for":[73,94,189],"this":[74,103],"scenario":[75],"remain":[76],"largely":[77],"unexplored.":[78],"Insights":[79],"P2P":[81],"networks":[82],"suggest":[83],"well-designed":[86],"mechanism":[88],"is":[89],"both":[90],"catalytic":[91],"indispensable":[93],"widespread":[96],"adoption":[97],"training.":[101],"In":[102],"paper,":[104],"we":[105,183],"explore":[106],"design":[109,146,176],"problem":[110,147,153,165],"envision":[116],"novel":[118],"hierarchical":[119],"procurement":[120],"auction":[121],"captures":[123],"some":[124],"properties":[125],"asynchronous":[132],"arrivals,":[134],"synchronous":[135],"processes,":[137],"complex":[139],"resource":[140],"requirements.":[141],"We":[142],"formulate":[143],"social":[150],"cost":[151],"minimization":[152],"with":[154,166],"<tex":[155,168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[156,169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$l_{\\infty}$</tex>-norm":[157],"constraints":[158],"transform":[160],"it":[161],"into":[162],"an":[163,167,178],"approximation":[164,180,187],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$l_{2}$</tex>-norm":[170],"objective":[171],"function":[172],"which":[173,195],"facilitates":[174],"efficient":[179],"algorithm.":[181],"Subsequently,":[182],"propose":[184],"primal-dual":[186],"algorithm":[188],"selection":[191],"payment":[193],"allocation,":[194],"guarantees":[196],"small":[198],"competitive":[199],"ratio":[200],"truthfulness.":[202],"Both":[203],"theoretical":[204],"experiments":[207],"using":[208],"real-world":[209],"trace":[210],"are":[212],"conducted":[213],"to":[214],"demonstrate":[215],"efficacy":[217],"our":[219],"method.":[220]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
