{"id":"https://openalex.org/W4367663293","doi":"https://doi.org/10.1109/tkde.2023.3271851","title":"Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization","display_name":"Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization","publication_year":2023,"publication_date":"2023-05-01","ids":{"openalex":"https://openalex.org/W4367663293","doi":"https://doi.org/10.1109/tkde.2023.3271851"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3271851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3271851","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5049344673","display_name":"Junkun Yuan","orcid":"https://orcid.org/0000-0003-0012-7397"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junkun Yuan","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701889","display_name":"Xu Ma","orcid":"https://orcid.org/0000-0003-2864-4708"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Ma","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101821806","display_name":"Defang Chen","orcid":"https://orcid.org/0000-0003-0833-7401"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defang Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004882141","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0003-2139-8807"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wu","raw_affiliation_strings":["Shanghai Institute for Advanced Study of Zhejiang University, and Shanghai AI Laboratory, Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Study of Zhejiang University, and Shanghai AI Laboratory, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090814258","display_name":"Lanfen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanfen Lin","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041727387","display_name":"Kun Kuang","orcid":"https://orcid.org/0000-0001-7024-9790"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Kuang","raw_affiliation_strings":["Key Laboratory for Corneal Diseases Research of Zhejiang Province, Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Corneal Diseases Research of Zhejiang Province, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5049344673"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":4.0012,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.94911987,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"12","first_page":"12528","last_page":"12541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9940999746322632,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9940999746322632,"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":0.8773432374000549},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6787747740745544},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6582551002502441},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.537899374961853},{"id":"https://openalex.org/keywords/semantic-mapping","display_name":"Semantic mapping","score":0.5057923793792725},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.49695447087287903},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.4353531002998352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4035751223564148},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38911232352256775},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3695179224014282},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10033297538757324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8773432374000549},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6787747740745544},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6582551002502441},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.537899374961853},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.5057923793792725},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.49695447087287903},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.4353531002998352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4035751223564148},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38911232352256775},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3695179224014282},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10033297538757324},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3271851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3271851","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3235401080","display_name":null,"funder_award_id":"62037001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4385699040","display_name":null,"funder_award_id":"U20A20387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G686355997","display_name":null,"funder_award_id":"226-2022-00142","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7235758038","display_name":null,"funder_award_id":"226-2022-00051","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8556648500","display_name":null,"funder_award_id":"62006207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":136,"referenced_works":["https://openalex.org/W1593532658","https://openalex.org/W1682403713","https://openalex.org/W1920962657","https://openalex.org/W2100664256","https://openalex.org/W2126151240","https://openalex.org/W2133564696","https://openalex.org/W2149466042","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2279034837","https://openalex.org/W2334687549","https://openalex.org/W2341914330","https://openalex.org/W2618530766","https://openalex.org/W2627183927","https://openalex.org/W2758584002","https://openalex.org/W2763549966","https://openalex.org/W2798626461","https://openalex.org/W2798658180","https://openalex.org/W2803732898","https://openalex.org/W2804078698","https://openalex.org/W2805548989","https://openalex.org/W2886256216","https://openalex.org/W2889965839","https://openalex.org/W2894728917","https://openalex.org/W2912213068","https://openalex.org/W2948210185","https://openalex.org/W2952848538","https://openalex.org/W2955058313","https://openalex.org/W2958360136","https://openalex.org/W2963495494","https://openalex.org/W2964067969","https://openalex.org/W2969648982","https://openalex.org/W2970119729","https://openalex.org/W2979997102","https://openalex.org/W2981368934","https://openalex.org/W2986413680","https://openalex.org/W2989289980","https://openalex.org/W2997532515","https://openalex.org/W2998712190","https://openalex.org/W2999089077","https://openalex.org/W2999721377","https://openalex.org/W3014788410","https://openalex.org/W3034218934","https://openalex.org/W3034526587","https://openalex.org/W3035453001","https://openalex.org/W3035701489","https://openalex.org/W3038585207","https://openalex.org/W3047770672","https://openalex.org/W3103937687","https://openalex.org/W3109094166","https://openalex.org/W3109635165","https://openalex.org/W3109986233","https://openalex.org/W3124515033","https://openalex.org/W3131163951","https://openalex.org/W3131415659","https://openalex.org/W3133542152","https://openalex.org/W3133814152","https://openalex.org/W3142917731","https://openalex.org/W3169044395","https://openalex.org/W3183864931","https://openalex.org/W3199890178","https://openalex.org/W3200556739","https://openalex.org/W3202088367","https://openalex.org/W3203979321","https://openalex.org/W3204447533","https://openalex.org/W3205970722","https://openalex.org/W3209696639","https://openalex.org/W3212574314","https://openalex.org/W3215391751","https://openalex.org/W3216652988","https://openalex.org/W4205487313","https://openalex.org/W4205562077","https://openalex.org/W4206453098","https://openalex.org/W4210743024","https://openalex.org/W4221141639","https://openalex.org/W4224310605","https://openalex.org/W4225418320","https://openalex.org/W4281483200","https://openalex.org/W4283332641","https://openalex.org/W4285876308","https://openalex.org/W4286907498","https://openalex.org/W4287887646","https://openalex.org/W4289639938","https://openalex.org/W4292805591","https://openalex.org/W4293452925","https://openalex.org/W4303647687","https://openalex.org/W4304084069","https://openalex.org/W4310079729","https://openalex.org/W4311408427","https://openalex.org/W4312251311","https://openalex.org/W4312810014","https://openalex.org/W4318619660","https://openalex.org/W4319300240","https://openalex.org/W4319769514","https://openalex.org/W4320536792","https://openalex.org/W4322745786","https://openalex.org/W4362653147","https://openalex.org/W4390872832","https://openalex.org/W4394646653","https://openalex.org/W6677258307","https://openalex.org/W6678977525","https://openalex.org/W6679434410","https://openalex.org/W6681637710","https://openalex.org/W6687400500","https://openalex.org/W6688325169","https://openalex.org/W6695692224","https://openalex.org/W6728757088","https://openalex.org/W6752378368","https://openalex.org/W6754038005","https://openalex.org/W6758853722","https://openalex.org/W6767680423","https://openalex.org/W6770046221","https://openalex.org/W6773490324","https://openalex.org/W6779269186","https://openalex.org/W6780224944","https://openalex.org/W6781613364","https://openalex.org/W6784870874","https://openalex.org/W6785863445","https://openalex.org/W6789100154","https://openalex.org/W6789380839","https://openalex.org/W6791875987","https://openalex.org/W6801315468","https://openalex.org/W6801513065","https://openalex.org/W6801795147","https://openalex.org/W6801800458","https://openalex.org/W6801915519","https://openalex.org/W6803704470","https://openalex.org/W6804042206","https://openalex.org/W6806877203","https://openalex.org/W6807300608","https://openalex.org/W6837780315","https://openalex.org/W6839153686","https://openalex.org/W6846123543","https://openalex.org/W6849752559","https://openalex.org/W7028611299","https://openalex.org/W7072029295"],"related_works":["https://openalex.org/W3131987414","https://openalex.org/W3026491381","https://openalex.org/W1127511593","https://openalex.org/W2241335588","https://openalex.org/W2779831736","https://openalex.org/W4308503524","https://openalex.org/W3207742436","https://openalex.org/W3204516429","https://openalex.org/W2120292386","https://openalex.org/W3176428617"],"abstract_inverted_index":{"Domain":[0],"generalization":[1,67],"(DG)":[2],"aims":[3],"to":[4,17,33,54,94,145],"learn":[5],"from":[6],"multiple":[7],"known":[8],"source":[9,70],"domains":[10,123],"a":[11,35,84,162],"model":[12],"that":[13,48],"can":[14,49,72],"generalize":[15],"well":[16],"unknown":[18],"target":[19],"domains.":[20],"The":[21],"existing":[22],"DG":[23],"methods":[24],"usually":[25],"exploit":[26],"the":[27,62,69,117,121,127,167,178,187],"fusion":[28],"of":[29,45,64,190],"shared":[30,52],"multi-source":[31,102,156],"data":[32,40,108,179],"train":[34],"generalizable":[36],"model.":[37],"However,":[38],"tremendous":[39],"is":[41,181],"distributed":[42],"across":[43],"lots":[44],"places":[46],"nowadays":[47],"not":[50],"be":[51,74],"due":[53],"privacy":[55,80,180],"policies.":[56],"In":[57],"this":[58,96,195],"paper,":[59],"we":[60,110,135],"tackle":[61],"problem":[63,130],"federated":[65],"domain":[66,133,152],"where":[68],"datasets":[71],"only":[73],"accessed":[75],"and":[76,91,150,159,170,177],"learned":[77],"locally":[78],"for":[79],"protection.":[81],"We":[82,154],"propose":[83],"novel":[85],"framework":[86],"called":[87],"Collaborative":[88],"Semantic":[89],"Aggregation":[90],"Calibration":[92],"(CSAC)":[93],"enable":[95],"challenging":[97,196],"problem.":[98,197],"To":[99,125],"fully":[100],"absorb":[101],"semantic":[103,113,128,139,148,157,168],"information":[104],"while":[105],"avoiding":[106],"unsafe":[107],"fusion,":[109],"conduct":[111],"data-free":[112],"aggregation":[114,169],"by":[115,132,165],"fusing":[116],"models":[118],"trained":[119],"on":[120],"separated":[122],"layer-by-layer.":[124],"address":[126],"dislocation":[129],"caused":[131],"shift,":[134],"further":[136],"design":[137],"cross-layer":[138],"calibration":[140,171],"with":[141],"an":[142],"attention":[143],"mechanism":[144],"align":[146],"each":[147,174],"level":[149],"enhance":[151],"invariance.":[153],"unify":[155],"learning":[158],"alignment":[160],"in":[161,193],"collaborative":[163],"way":[164],"repeating":[166],"alternately,":[172],"keeping":[173],"dataset":[175],"localized,":[176],"carefully":[182],"protected.":[183],"Extensive":[184],"experiments":[185],"show":[186],"significant":[188],"performance":[189],"our":[191],"method":[192],"addressing":[194]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}