{"id":"https://openalex.org/W4414051000","doi":"https://doi.org/10.1007/s10994-025-06861-7","title":"FediOS: decoupling orthogonal subspaces for personalization in feature-skew federated learning","display_name":"FediOS: decoupling orthogonal subspaces for personalization in feature-skew federated learning","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W4414051000","doi":"https://doi.org/10.1007/s10994-025-06861-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-025-06861-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10994-025-06861-7","pdf_url":null,"source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","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/A5113228248","display_name":"Lingzhi Gao","orcid":null},"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":true,"raw_author_name":"Lingzhi Gao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101736989","display_name":"Zexi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"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","GB"],"is_corresponding":false,"raw_author_name":"Zexi Li","raw_affiliation_strings":["University of Cambridge, Cambridge, UK","Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067088554","display_name":"Xinyi Shang","orcid":"https://orcid.org/0000-0003-2287-3366"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xinyi Shang","raw_affiliation_strings":["University College London, London, UK"],"affiliations":[{"raw_affiliation_string":"University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101946929","display_name":"Yang Lu","orcid":"https://orcid.org/0009-0009-9666-6424"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Lu","raw_affiliation_strings":["Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056838798","display_name":"Chao Wu","orcid":"https://orcid.org/0000-0003-0885-6869"},"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"]},{"id":"https://openalex.org/I4210108438","display_name":"Zhejiang Academy of Social Sciences","ror":"https://ror.org/01wrf3k61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210108438"]},{"id":"https://openalex.org/I4210130954","display_name":"China Institute Of Communications","ror":"https://ror.org/0395ve714","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210130954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wu","raw_affiliation_strings":["Academy of Social Governance, Zhejiang University, Hangzhou, China","School of Artificial Intelligence, Hebei Institute of Communications, Shijiazhuang, China","Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Academy of Social Governance, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210108438","https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Artificial Intelligence, Hebei Institute of Communications, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210130954"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113228248"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":5.399,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95766594,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"114","issue":"10","first_page":null,"last_page":null},"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":0.9984999895095825,"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":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10862","display_name":"AI in cancer detection","score":0.991100013256073,"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/personalization","display_name":"Personalization","score":0.7315000295639038},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.7045999765396118},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6347000002861023},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6154999732971191},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6031000018119812},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5428000092506409},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4474000036716461},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3815000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8184999823570251},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7315000295639038},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.7045999765396118},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6347000002861023},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6154999732971191},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6031000018119812},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5428000092506409},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44690001010894775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4189000129699707},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3815000057220459},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3379000127315521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33719998598098755},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-025-06861-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10994-025-06861-7","pdf_url":null,"source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2612690371","https://openalex.org/W2923119009","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2964137095","https://openalex.org/W2981720610","https://openalex.org/W2990138404","https://openalex.org/W2995022099","https://openalex.org/W3035399978","https://openalex.org/W3089578458","https://openalex.org/W3111512201","https://openalex.org/W3133814152","https://openalex.org/W3141518839","https://openalex.org/W3156841666","https://openalex.org/W3182158470","https://openalex.org/W3187356235","https://openalex.org/W3203479069","https://openalex.org/W4205335850","https://openalex.org/W4283796083","https://openalex.org/W4285302300","https://openalex.org/W4285815152","https://openalex.org/W4308796844","https://openalex.org/W4312366417","https://openalex.org/W4312403682","https://openalex.org/W4382239439","https://openalex.org/W4383468656","https://openalex.org/W4385284332","https://openalex.org/W4386075712","https://openalex.org/W4386076561","https://openalex.org/W4386113273","https://openalex.org/W4386159265","https://openalex.org/W4387211827","https://openalex.org/W4390873683","https://openalex.org/W4399336288","https://openalex.org/W4400277274","https://openalex.org/W4400409839","https://openalex.org/W4406457895","https://openalex.org/W4409882628","https://openalex.org/W4412877020"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2949110394","https://openalex.org/W2896134808","https://openalex.org/W4290802965","https://openalex.org/W1825472806","https://openalex.org/W4289378085","https://openalex.org/W2071055957","https://openalex.org/W4211228991","https://openalex.org/W2353790329","https://openalex.org/W3103861421"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}