{"id":"https://openalex.org/W4412825886","doi":"https://doi.org/10.1145/3711896.3736825","title":"A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning","display_name":"A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning","publication_year":2025,"publication_date":"2025-08-01","ids":{"openalex":"https://openalex.org/W4412825886","doi":"https://doi.org/10.1145/3711896.3736825"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736825","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736825","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3711896.3736825","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064391180","display_name":"Jun Bai","orcid":"https://orcid.org/0000-0003-3349-5161"},"institutions":[{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jun Bai","raw_affiliation_strings":["McGill University, Montreal, Canada and Mila-Quebec AI Institute, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3349-5161","affiliations":[{"raw_affiliation_string":"McGill University, Montreal, Canada and Mila-Quebec AI Institute, Montreal, Canada","institution_ids":["https://openalex.org/I4210164802","https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056243323","display_name":"Yiliao Song","orcid":"https://orcid.org/0000-0002-6633-2695"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yiliao Song","raw_affiliation_strings":["The University of Adelaide, Adelaide, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6633-2695","affiliations":[{"raw_affiliation_string":"The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599890","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-4753-8161"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["University of Southern Queensland, Toowoomba, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4753-8161","affiliations":[{"raw_affiliation_string":"University of Southern Queensland, Toowoomba, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005494115","display_name":"Atul Sajjanhar","orcid":"https://orcid.org/0000-0002-0445-0573"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Atul Sajjanhar","raw_affiliation_strings":["Deakin University, Geelong, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0445-0573","affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051297830","display_name":"Yong Xiang","orcid":"https://orcid.org/0000-0003-3545-7863"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yong Xiang","raw_affiliation_strings":["Deakin University, Geelong, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3545-7863","affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101866473","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0002-2548-6348"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["Monash University, Melbourne, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2548-6348","affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065941595","display_name":"Xiaohui Tao","orcid":"https://orcid.org/0000-0002-0020-077X"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaohui Tao","raw_affiliation_strings":["University of Southern Queensland, Springfield, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0020-077X","affiliations":[{"raw_affiliation_string":"University of Southern Queensland, Springfield, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443879","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-4694-4926"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]},{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["AU","CA"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["McGill University, Montreal, Canada and Mila-Quebec AI Institute, Montreal, Canada","University of Southern Queensland, Toowoomba, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4694-4926","affiliations":[{"raw_affiliation_string":"McGill University, Montreal, Canada and Mila-Quebec AI Institute, Montreal, Canada","institution_ids":["https://openalex.org/I4210164802","https://openalex.org/I5023651"]},{"raw_affiliation_string":"University of Southern Queensland, Toowoomba, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387861","display_name":"Yue Li","orcid":"https://orcid.org/0000-0003-3844-4865"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]},{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["AU","CA"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["McGill University, Montreal, Canada and Mila-Quebec AI Institute, Montreal, Canada","University of Southern Queensland, Toowoomba, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3844-4865","affiliations":[{"raw_affiliation_string":"McGill University, Montreal, Canada and Mila-Quebec AI Institute, Montreal, Canada","institution_ids":["https://openalex.org/I4210164802","https://openalex.org/I5023651"]},{"raw_affiliation_string":"University of Southern Queensland, Toowoomba, Australia","institution_ids":["https://openalex.org/I185523456"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"82"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.996399998664856,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.7356970906257629},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5641263723373413},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4504958391189575},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.17381083965301514},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.0787862241268158},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07366675138473511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7356970906257629},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5641263723373413},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4504958391189575},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.17381083965301514},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0787862241268158},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07366675138473511},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3736825","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736825","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736825","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736825","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2118978333","https://openalex.org/W2594481151","https://openalex.org/W2740165824","https://openalex.org/W2982802130","https://openalex.org/W2990138404","https://openalex.org/W3034957837","https://openalex.org/W3035453001","https://openalex.org/W3038022836","https://openalex.org/W3114953370","https://openalex.org/W3127520698","https://openalex.org/W3171007011","https://openalex.org/W3182158470","https://openalex.org/W3192098883","https://openalex.org/W3215194618","https://openalex.org/W4226101686","https://openalex.org/W4226142397","https://openalex.org/W4226480431","https://openalex.org/W4312352414","https://openalex.org/W4312429505","https://openalex.org/W4312699393","https://openalex.org/W4312950667","https://openalex.org/W4367663129","https://openalex.org/W4376983316","https://openalex.org/W4391661654","https://openalex.org/W4407639362","https://openalex.org/W6759238902","https://openalex.org/W6810565495"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"One-Shot":[0],"Federated":[1,27],"Learning":[2,28],"(OSFL)":[3],"restricts":[4],"communication":[5,17],"between":[6],"the":[7,99,111,155],"server":[8],"and":[9,19,74,93,105,113,162],"clients":[10],"to":[11,25,42,69,97],"a":[12,63,83],"single":[13],"round,":[14],"significantly":[15],"reducing":[16],"costs":[18],"minimizing":[20,133],"privacy":[21],"leakage":[22],"risks":[23],"compared":[24,138],"traditional":[26],"(FL),":[29],"which":[30],"requires":[31],"multiple":[32],"rounds":[33],"of":[34],"communication.":[35],"However,":[36],"existing":[37,78],"OSFL":[38,66,79,157],"frameworks":[39],"remain":[40],"vulnerable":[41],"distributional":[43],"heterogeneity,":[44],"as":[45],"they":[46],"primarily":[47],"focus":[48],"on":[49,144],"model":[50,73,91,104,114],"heterogeneity":[51,115],"while":[52],"neglecting":[53],"data":[54,75,106,112],"heterogeneity.":[55,76,107],"To":[56],"bridge":[57],"this":[58,109],"gap,":[59],"we":[60],"propose":[61],"FedHydra,":[62],"unified,":[64],"data-free,":[65],"framework":[67],"designed":[68],"effectively":[70,128],"address":[71],"both":[72,103,130,160],"Unlike":[77],"approaches,":[80],"FedHydra":[81,126,139],"introduces":[82],"novel":[84],"two-stage":[85],"learning":[86],"mechanism.":[87],"Specifically,":[88],"it":[89],"incorporates":[90],"stratification":[92],"heterogeneity-aware":[94],"stratified":[95],"aggregation":[96],"mitigate":[98,129],"challenges":[100],"posed":[101],"by":[102,132],"By":[108],"design,":[110],"issues":[116,131],"are":[117],"simultaneously":[118],"monitored":[119],"from":[120],"different":[121],"aspects":[122],"during":[123],"learning.":[124],"Consequently,":[125],"can":[127],"their":[134],"inherent":[135],"conflicts.":[136],"We":[137],"with":[140],"five":[141],"SOTA":[142],"baselines":[143],"four":[145],"benchmark":[146],"datasets.":[147],"Experimental":[148],"results":[149],"show":[150],"that":[151],"our":[152],"method":[153],"outperforms":[154],"previous":[156],"methods":[158],"in":[159],"homogeneous":[161],"heterogeneous":[163],"settings.":[164],"The":[165],"code":[166],"is":[167],"available":[168],"at":[169],"https://github.com/Jun-B0518/FedHydra.":[170]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
