{"id":"https://openalex.org/W4408353457","doi":"https://doi.org/10.1109/icassp49660.2025.10888230","title":"Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training","display_name":"Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353457","doi":"https://doi.org/10.1109/icassp49660.2025.10888230"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056039283","display_name":"Milad Soltany","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Milad Soltany","raw_affiliation_strings":["Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031691031","display_name":"Farhad Pourpanah","orcid":"https://orcid.org/0000-0002-7122-9975"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Farhad Pourpanah","raw_affiliation_strings":["Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079155541","display_name":"Mahdiyar Molahasani","orcid":null},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahdiyar Molahasani","raw_affiliation_strings":["Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052248307","display_name":"Michael Greenspan","orcid":"https://orcid.org/0000-0001-6054-8770"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michael Greenspan","raw_affiliation_strings":["Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039812985","display_name":"Ali Etemad","orcid":"https://orcid.org/0000-0001-7128-0220"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Etemad","raw_affiliation_strings":["Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen’s University,Department of Electrical and Computer Engineering,Kingston,Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9484000205993652,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9484000205993652,"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":0.9447000026702881,"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/generalization","display_name":"Generalization","score":0.7596530914306641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756098747253418},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6970940232276917},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.571586549282074},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.42752930521965027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3808284401893616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1436668038368225},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06703102588653564}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7596530914306641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756098747253418},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6970940232276917},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.571586549282074},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.42752930521965027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3808284401893616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1436668038368225},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06703102588653564},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":26,"referenced_works":["https://openalex.org/W2167366427","https://openalex.org/W2535838896","https://openalex.org/W2627183927","https://openalex.org/W2763549966","https://openalex.org/W2883386984","https://openalex.org/W3095799614","https://openalex.org/W3109635165","https://openalex.org/W3169044395","https://openalex.org/W3182158470","https://openalex.org/W3183864931","https://openalex.org/W3202260564","https://openalex.org/W3203979321","https://openalex.org/W4283796083","https://openalex.org/W4312710251","https://openalex.org/W4319300240","https://openalex.org/W4385213925","https://openalex.org/W4386066134","https://openalex.org/W4409363537","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6780233385","https://openalex.org/W6781318954","https://openalex.org/W6784333009","https://openalex.org/W6804042206","https://openalex.org/W6854462725","https://openalex.org/W7028611299"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W230091440","https://openalex.org/W3125766170"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,27,57,63],"novel":[6],"approach,":[7],"Federated":[8],"Domain":[9],"Generalization":[10],"with":[11],"Label":[12],"Smoothing":[13],"and":[14,95],"Balanced":[15],"Decentralized":[16],"Training":[17],"(FedSB),":[18],"to":[19,39,42,75],"address":[20],"the":[21,36,77,80,113],"challenges":[22],"of":[23,79,109,115],"data":[24,119],"heterogeneity":[25],"within":[26],"federated":[28],"learning":[29],"framework.":[30],"FedSB":[31,61,99,116],"utilizes":[32],"label":[33],"smoothing":[34],"at":[35],"client":[37],"level":[38],"prevent":[40],"overfitting":[41],"domain-specific":[43],"features,":[44],"thereby":[45],"enhancing":[46],"generalization":[47],"capabilities":[48],"across":[49],"diverse":[50],"domains":[51],"when":[52],"aggregating":[53],"local":[54],"models":[55],"into":[56],"global":[58,82],"model.":[59,83],"Additionally,":[60],"incorporates":[62],"decentralized":[64],"budgeting":[65],"mechanism":[66],"which":[67,72],"balances":[68],"training":[69],"among":[70],"clients,":[71],"is":[73],"shown":[74],"improve":[76],"performance":[78],"aggregated":[81],"Extensive":[84],"experiments":[85],"on":[86,106],"four":[87,110],"commonly":[88],"used":[89],"multi-domain":[90],"datasets,":[91,111],"PACS,":[92],"VLCS,":[93],"OfficeHome,":[94],"TerraInc,":[96],"demonstrate":[97],"that":[98],"outperforms":[100],"competing":[101],"methods,":[102],"achieving":[103],"state-of-the-art":[104],"results":[105],"three":[107],"out":[108],"indicating":[112],"effectiveness":[114],"in":[117],"addressing":[118],"heterogeneity.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}