{"id":"https://openalex.org/W4406457987","doi":"https://doi.org/10.1109/bigdata62323.2024.10825371","title":"Communication-Efficient Multi-Modal Federated Learning via Dynamic Client-Modality Matching","display_name":"Communication-Efficient Multi-Modal Federated Learning via Dynamic Client-Modality Matching","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406457987","doi":"https://doi.org/10.1109/bigdata62323.2024.10825371"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5065822896","display_name":"Li Tan","orcid":"https://orcid.org/0000-0002-2786-5958"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I47605537","display_name":"The Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"CN","type":"education","lineage":["https://openalex.org/I47605537"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Tan Li","raw_affiliation_strings":["The Hang Seng University of Hong Kong,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"The Hang Seng University of Hong Kong,Department of Computer Science","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006887219","display_name":"Yuhang Gong","orcid":"https://orcid.org/0009-0007-8901-1054"},"institutions":[{"id":"https://openalex.org/I47605537","display_name":"The Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"CN","type":"education","lineage":["https://openalex.org/I47605537"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yanming Gong","raw_affiliation_strings":["The Hang Seng University of Hong Kong,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"The Hang Seng University of Hong Kong,Department of Computer Science","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091417002","display_name":"Hai Liu","orcid":"https://orcid.org/0000-0002-2616-7437"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I47605537","display_name":"The Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"CN","type":"education","lineage":["https://openalex.org/I47605537"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Hai Liu","raw_affiliation_strings":["The Hang Seng University of Hong Kong,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"The Hang Seng University of Hong Kong,Department of Computer Science","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115589536","display_name":"Zhen Chen","orcid":"https://orcid.org/0009-0007-7842-5446"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Zhen Chen","raw_affiliation_strings":["HKISI, CAS,Centre for Artificial Intelligence and Robotics (CAIR)"],"affiliations":[{"raw_affiliation_string":"HKISI, CAS,Centre for Artificial Intelligence and Robotics (CAIR)","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035185924","display_name":"Linqi Song","orcid":"https://orcid.org/0000-0003-2756-4984"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Linqi Song","raw_affiliation_strings":["City University of Hong Kong,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong,Department of Computer Science","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065822896"],"corresponding_institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23712766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7899","last_page":"7908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9945999979972839,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9937999844551086,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.8500866889953613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7810391187667847},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.7425732016563416},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6632705330848694},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4511229395866394},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43069586157798767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38653185963630676}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.8500866889953613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810391187667847},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7425732016563416},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6632705330848694},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4511229395866394},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43069586157798767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38653185963630676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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":30,"referenced_works":["https://openalex.org/W2613019972","https://openalex.org/W2963819344","https://openalex.org/W3006017224","https://openalex.org/W3027572331","https://openalex.org/W3091075746","https://openalex.org/W3129329365","https://openalex.org/W3209696639","https://openalex.org/W4206279885","https://openalex.org/W4283367167","https://openalex.org/W4283790910","https://openalex.org/W4321392831","https://openalex.org/W4381850046","https://openalex.org/W4385567856","https://openalex.org/W4385568263","https://openalex.org/W4385615086","https://openalex.org/W4388666567","https://openalex.org/W4389352407","https://openalex.org/W4391420990","https://openalex.org/W4396952366","https://openalex.org/W4398192365","https://openalex.org/W4399487263","https://openalex.org/W4401097356","https://openalex.org/W6605479355","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6772307254","https://openalex.org/W6795916790","https://openalex.org/W6849911278","https://openalex.org/W6861017168","https://openalex.org/W6867813247"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2110287964","https://openalex.org/W2167701463","https://openalex.org/W4307407935"],"abstract_inverted_index":{"Multi-modal":[0],"federated":[1],"learning":[2],"(MFL)":[3],"offers":[4],"the":[5,59,96,108,111,137,148,155,174,178,218,223],"advantage":[6],"of":[7,39,110,140,202,225],"aggregating":[8],"models":[9,143],"from":[10],"diverse":[11],"data":[12,23,70],"modalities":[13,55,102,195],"to":[14,46,58,94,158,177,196],"obtain":[15],"a":[16,36,82,115,121,198],"more":[17],"powerful":[18],"fused":[19,60,112],"model":[20,113,156,180,183,213],"while":[21],"preserving":[22],"privacy.":[24],"However,":[25],"MFL":[26],"faces":[27],"three":[28],"key":[29],"challenges:":[30],"1)":[31,131],"Communication":[32],"overhead":[33],"-":[34,53,65],"only":[35],"limited":[37,116],"number":[38,139],"clients":[40,66,98,193],"can":[41],"participate":[42],"in":[43,69,103],"training":[44,150],"due":[45],"communication":[47,88,105,117,220],"budget":[48,89,227],"constraints;":[49],"2)":[50,160],"Modality":[51,133],"heterogeneity":[52,64],"different":[54],"contribute":[56],"unequally":[57],"model;":[61],"3)":[62],"Client":[63,162],"exhibit":[67],"variations":[68],"quantity":[71],"and":[72,99,194,229],"quality":[73],"across":[74],"modalities.":[75],"To":[76],"address":[77],"these":[78],"challenges,":[79],"we":[80,188],"formulate":[81],"joint":[83],"client-modality":[84],"selection":[85],"problem":[86],"under":[87,217],"constraints.":[90],"The":[91],"goal":[92],"is":[93,157],"determine":[95],"participating":[97],"their":[100],"uploaded":[101,141],"each":[104,170],"round,":[106],"maximizing":[107],"performance":[109,214],"given":[114],"budget.":[118],"We":[119],"propose":[120],"dynamic":[122,226],"many-to-many":[123,200],"matching":[124,201],"algorithm":[125,210],"with":[126],"two":[127],"quota":[128,168,186],"budgeting":[129],"strategies:":[130],"Round-aware":[132],"Budgeting":[134],"(RMB)":[135],"determines":[136],"total":[138],"modality":[142,171],"per":[144],"round":[145],"based":[146],"on":[147],"current":[149],"process":[151],"(i.e.,":[152],"how":[153],"close":[154],"convergence).":[159],"Modality-aware":[161],"Allocation":[163],"(MCB)":[164],"adaptively":[165],"allocates":[166],"client":[167,230],"for":[169,192],"by":[172],"balancing":[173],"modality\u2019s":[175],"contribution":[176],"fusion":[179],"against":[181],"its":[182],"size.":[184],"After":[185],"budgeting,":[187],"construct":[189],"preference":[190],"lists":[191],"find":[197],"stable":[199],"(client,":[203],"modality)":[204],"pairs.":[205],"Experiments":[206],"demonstrate":[207],"that":[208],"our":[209],"achieves":[211],"better":[212],"than":[215],"baselines":[216],"same":[219],"budget,":[221],"validating":[222],"benefits":[224],"allocation":[228],"scheduling.":[231]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
