{"id":"https://openalex.org/W4385567856","doi":"https://doi.org/10.1145/3580305.3599825","title":"FedMultimodal: A Benchmark for Multimodal Federated Learning","display_name":"FedMultimodal: A Benchmark for Multimodal Federated Learning","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567856","doi":"https://doi.org/10.1145/3580305.3599825"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599825","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599825","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599825","source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599825","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059679122","display_name":"Tiantian Feng","orcid":"https://orcid.org/0000-0002-2053-9068"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tiantian Feng","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059652479","display_name":"Digbalay Bose","orcid":"https://orcid.org/0000-0002-5281-1695"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Digbalay Bose","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029803129","display_name":"Tuo Zhang","orcid":"https://orcid.org/0000-0003-3676-0717"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tuo Zhang","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085315115","display_name":"Rajat Hebbar","orcid":"https://orcid.org/0000-0002-0904-0573"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajat Hebbar","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072018684","display_name":"Anil Ramakrishna","orcid":"https://orcid.org/0000-0002-7999-0531"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anil Ramakrishna","raw_affiliation_strings":["Amazon Alexa AI, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075937808","display_name":"Rahul Gupta","orcid":"https://orcid.org/0000-0002-9277-3718"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Gupta","raw_affiliation_strings":["Amazon Alexa AI, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Alexa AI, Boston, MA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659123","display_name":"Mi Zhang","orcid":"https://orcid.org/0000-0001-7002-6757"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mi Zhang","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112726818","display_name":"Salman Avestimehr","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Salman Avestimehr","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010028928","display_name":"Shrikanth Narayanan","orcid":"https://orcid.org/0000-0002-1052-6204"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shrikanth Narayanan","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5059679122"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":11.42,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.98921128,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4035","last_page":"4045"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9014000296592712,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/computer-science","display_name":"Computer science","score":0.8321082592010498},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6955481171607971},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6615588665008545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6398353576660156},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.607121467590332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5819069147109985},{"id":"https://openalex.org/keywords/multimodal-learning","display_name":"Multimodal learning","score":0.549708366394043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8321082592010498},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6955481171607971},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6615588665008545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6398353576660156},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.607121467590332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5819069147109985},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.549708366394043},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599825","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599825","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599825","source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3580305.3599825","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599825","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599825","source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319290","display_name":"Meta","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385567856.pdf","grobid_xml":"https://content.openalex.org/works/W4385567856.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2030931454","https://openalex.org/W2109768653","https://openalex.org/W2131368080","https://openalex.org/W2131496831","https://openalex.org/W2470673105","https://openalex.org/W2612690371","https://openalex.org/W2767079719","https://openalex.org/W2798683079","https://openalex.org/W2935859023","https://openalex.org/W2935937194","https://openalex.org/W2951160251","https://openalex.org/W2963456518","https://openalex.org/W2979598391","https://openalex.org/W3016632787","https://openalex.org/W3023989664","https://openalex.org/W3035453001","https://openalex.org/W3038022836","https://openalex.org/W3043229062","https://openalex.org/W3048584318","https://openalex.org/W3084949122","https://openalex.org/W3098250197","https://openalex.org/W3114214226","https://openalex.org/W3138059307","https://openalex.org/W3141518839","https://openalex.org/W3156669901","https://openalex.org/W3168213397","https://openalex.org/W3177966841","https://openalex.org/W3193756050","https://openalex.org/W3205786327","https://openalex.org/W3206389158","https://openalex.org/W3213321731","https://openalex.org/W4206320562","https://openalex.org/W4206936477","https://openalex.org/W4214626077","https://openalex.org/W4225482284","https://openalex.org/W4225989372","https://openalex.org/W4228996454","https://openalex.org/W4290945297","https://openalex.org/W4290945652","https://openalex.org/W4297816851","https://openalex.org/W4367020642","https://openalex.org/W6759238902","https://openalex.org/W6824583106"],"related_works":["https://openalex.org/W4389505417","https://openalex.org/W2962931510","https://openalex.org/W4380551887","https://openalex.org/W4285159263","https://openalex.org/W2904518532","https://openalex.org/W4280529741","https://openalex.org/W4293919860","https://openalex.org/W2963650472","https://openalex.org/W4387634401","https://openalex.org/W4401552326"],"abstract_inverted_index":{"Over":[0],"the":[1,24,28,36,62,115,123,182],"past":[2],"few":[3],"years,":[4],"Federated":[5,25],"Learning":[6,26],"(FL)":[7],"has":[8,78],"become":[9],"an":[10],"emerging":[11],"machine":[12],"learning":[13,77,129],"technique":[14],"to":[15,50,113,164,180],"tackle":[16],"data":[17,67,159,189,219],"privacy":[18,92],"challenges":[19],"through":[20],"collaborative":[21],"training.":[22],"In":[23,111],"algorithm,":[27],"clients":[29],"submit":[30],"a":[31,95,141,149,177],"locally":[32],"trained":[33],"model,":[34],"and":[35,58,87,161,168,199,224,230],"server":[37],"aggregates":[38],"these":[39],"parameters":[40],"until":[41],"convergence.":[42],"Despite":[43],"significant":[44],"efforts":[45],"that":[46,75,204],"have":[47],"been":[48],"made":[49],"FL":[51,63,103,125,151,165,173,185,215],"in":[52,82,117,191],"fields":[53],"like":[54],"computer":[55],"vision,":[56],"audio,":[57],"natural":[59],"language":[60],"processing,":[61],"applications":[64,81,107,134],"utilizing":[65],"multimodal":[66,76,106,118,128,133,193,214,222,226],"streams":[68],"remain":[69],"largely":[70],"unexplored.":[71],"It":[72],"is":[73],"known":[74],"broad":[79],"real-world":[80],"emotion":[83],"recognition,":[84],"healthcare,":[85],"multimedia,":[86],"social":[88],"media,":[89],"while":[90],"user":[91],"persists":[93],"as":[94],"critical":[96],"concern.":[97],"Specifically,":[98],"there":[99],"are":[100],"no":[101],"existing":[102,172],"benchmarks":[104],"targeting":[105],"or":[108],"related":[109],"tasks.":[110],"order":[112],"facilitate":[114],"research":[116,210],"FL,":[119,223],"we":[120],"introduce":[121],"FedMultimodal,":[122],"first":[124],"benchmark":[126,166,231],"for":[127],"covering":[130],"five":[131],"representative":[132],"from":[135,158],"ten":[136],"commonly":[137],"used":[138],"datasets":[139,229],"with":[140],"total":[142],"of":[143,184],"eight":[144],"unique":[145],"modalities.":[146],"FedMultimodal":[147,175,205],"offers":[148],"systematic":[150],"pipeline,":[152],"enabling":[153],"end-to-end":[154],"modeling":[155],"framework":[156],"ranging":[157],"partition":[160],"feature":[162],"extraction":[163],"algorithms":[167,216],"model":[169],"evaluation.":[170],"Unlike":[171],"benchmarks,":[174],"provides":[176],"standardized":[178],"approach":[179],"assess":[181],"robustness":[183,221],"against":[186],"three":[187],"common":[188],"corruptions":[190],"real-life":[192],"applications:":[194],"missing":[195,197],"modalities,":[196],"labels,":[198],"erroneous":[200],"labels.":[201],"We":[202],"hope":[203],"can":[206,233],"accelerate":[207],"numerous":[208],"future":[209],"directions,":[211],"including":[212],"designing":[213],"toward":[217],"extreme":[218],"heterogeneity,":[220],"efficient":[225],"FL.":[227],"The":[228],"results":[232],"be":[234],"accessed":[235],"at:":[236],"https://github.com/usc-sail/fed-multimodal.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
