{"id":"https://openalex.org/W4313316160","doi":"https://doi.org/10.1109/tmi.2022.3233405","title":"FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation","display_name":"FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation","publication_year":2022,"publication_date":"2022-12-30","ids":{"openalex":"https://openalex.org/W4313316160","doi":"https://doi.org/10.1109/tmi.2022.3233405","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015653"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3233405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3233405","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5017034087","display_name":"Jeffry Wicaksana","orcid":"https://orcid.org/0000-0001-8275-0996"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jeffry Wicaksana","raw_affiliation_strings":["Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-8275-0996","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079057344","display_name":"Zengqiang Yan","orcid":"https://orcid.org/0000-0002-2039-3863"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengqiang Yan","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-2039-3863","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818657","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0002-4543-2179"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-4543-2179","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002384034","display_name":"Xijie Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xijie Huang","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057874898","display_name":"Huimin Wu","orcid":"https://orcid.org/0000-0001-9684-7617"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Huimin Wu","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-9684-7617","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088751649","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0001-6252-1061"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6252-1061","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077687075","display_name":"Kwang\u2010Ting Cheng","orcid":"https://orcid.org/0000-0002-3885-4912"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwang-Ting Cheng","raw_affiliation_strings":["Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3885-4912","affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5017034087"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":7.5184,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.98472449,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"42","issue":"7","first_page":"1955","last_page":"1968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9914000034332275,"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":0.8530837893486023},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6884049773216248},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6688848733901978},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6367037296295166},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5855240821838379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5836877822875977},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5526453256607056},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5521697402000427},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5488841533660889},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5272849202156067},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5249219536781311},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48561063408851624},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46806398034095764},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45846542716026306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3925360441207886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8530837893486023},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6884049773216248},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6688848733901978},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6367037296295166},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5855240821838379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5836877822875977},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5526453256607056},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5521697402000427},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5488841533660889},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5272849202156067},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5249219536781311},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48561063408851624},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46806398034095764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45846542716026306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3925360441207886},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2022.3233405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3233405","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:37015653","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015653","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-124843","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-124843","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2157765739","display_name":null,"funder_award_id":"62061160490","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3578521231","display_name":null,"funder_award_id":"2022CFB585","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G481671389","display_name":null,"funder_award_id":"N_HKUST627/20","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4991219617","display_name":"\u57fa\u4e8e\u591a\u53c2\u6570\u6838\u78c1\u7684\u524d\u5217\u817a\u764c\u81ea\u52a8\u68c0\u6d4b\u4e0e\u8bca\u65ad\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8019045571","display_name":null,"funder_award_id":"62202179","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/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W1495267108","https://openalex.org/W1533861849","https://openalex.org/W1641498739","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2337429362","https://openalex.org/W2340897893","https://openalex.org/W2744692634","https://openalex.org/W2765407302","https://openalex.org/W2782364420","https://openalex.org/W2798510080","https://openalex.org/W2871579310","https://openalex.org/W2905290040","https://openalex.org/W2910094941","https://openalex.org/W2919070891","https://openalex.org/W2962758679","https://openalex.org/W2962878449","https://openalex.org/W2963735582","https://openalex.org/W2970038028","https://openalex.org/W2978426779","https://openalex.org/W2979564145","https://openalex.org/W2979637109","https://openalex.org/W2980216952","https://openalex.org/W2991372685","https://openalex.org/W3001197829","https://openalex.org/W3012501605","https://openalex.org/W3018464563","https://openalex.org/W3019073377","https://openalex.org/W3031923721","https://openalex.org/W3033511014","https://openalex.org/W3034185248","https://openalex.org/W3034930876","https://openalex.org/W3035680157","https://openalex.org/W3040685212","https://openalex.org/W3044256341","https://openalex.org/W3044738063","https://openalex.org/W3086590218","https://openalex.org/W3087642760","https://openalex.org/W3097499499","https://openalex.org/W3099084711","https://openalex.org/W3101507774","https://openalex.org/W3102785203","https://openalex.org/W3107695429","https://openalex.org/W3107887114","https://openalex.org/W3117854388","https://openalex.org/W3121738311","https://openalex.org/W3127057363","https://openalex.org/W3138795569","https://openalex.org/W3147359051","https://openalex.org/W3150684546","https://openalex.org/W3167418937","https://openalex.org/W3169044395","https://openalex.org/W3170581063","https://openalex.org/W3171581326","https://openalex.org/W3172312230","https://openalex.org/W3175307072","https://openalex.org/W3176692018","https://openalex.org/W3177966841","https://openalex.org/W3182158470","https://openalex.org/W3188582951","https://openalex.org/W3200840849","https://openalex.org/W3202812631","https://openalex.org/W3204212595","https://openalex.org/W3204269530","https://openalex.org/W3207166205","https://openalex.org/W3217644914","https://openalex.org/W4225482284","https://openalex.org/W4250482878","https://openalex.org/W4287388854","https://openalex.org/W4287815264","https://openalex.org/W4296558679","https://openalex.org/W4318619660","https://openalex.org/W6631943919","https://openalex.org/W6639824700","https://openalex.org/W6703848168","https://openalex.org/W6728757088","https://openalex.org/W6745136726","https://openalex.org/W6751647823","https://openalex.org/W6758047254","https://openalex.org/W6762913911","https://openalex.org/W6766952621","https://openalex.org/W6768632158","https://openalex.org/W6768735801","https://openalex.org/W6773005947","https://openalex.org/W6776305959","https://openalex.org/W6786394082","https://openalex.org/W6788329692","https://openalex.org/W6788603650","https://openalex.org/W6795300952","https://openalex.org/W6797928375","https://openalex.org/W6801838286","https://openalex.org/W6802285627","https://openalex.org/W6803368823"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"The":[0,224],"purpose":[1],"of":[2,99,158,162,173],"federated":[3,71,91],"learning":[4,15,72],"is":[5,45,210,226],"to":[6,10,113,147,212],"enable":[7],"multiple":[8,186],"clients":[9],"jointly":[11],"train":[12],"a":[13,48,68,159,199],"machine":[14],"model":[16,29,92,144],"without":[17],"sharing":[18],"data.":[19],"However,":[20],"the":[21,38,54,90,142,148,156,170,191,195],"existing":[22,149],"methods":[23,197],"for":[24,41,76],"training":[25,39],"an":[26,34,126,138],"image":[27,56,78,83,163,215],"segmentation":[28,79,216],"have":[30],"been":[31],"based":[32,80],"on":[33,81,119,185],"unrealistic":[35],"assumption":[36],"that":[37,190,208],"set":[40],"each":[42,87,135,174],"local":[43,121,132,175],"client":[44,88,136],"annotated":[46],"in":[47,63,221],"similar":[49],"fashion":[50],"and":[51,95,217],"thus":[52],"follows":[53],"same":[55],"supervision":[57,164],"level.":[58],"To":[59],"relax":[60],"this":[61,64],"assumption,":[62],"work,":[65],"we":[66,123,204],"propose":[67,125],"label-agnostic":[69],"unified":[70],"framework,":[73],"named":[74],"FedMix,":[75,86],"medical":[77,214],"mixed":[82],"labels.":[84,117],"In":[85,202],"updates":[89],"by":[93,198],"integrating":[94],"effectively":[96],"making":[97],"use":[98],"all":[100],"available":[101,227],"labeled":[102],"data":[103],"ranging":[104],"from":[105],"strong":[106],"pixel-level":[107],"labels,":[108,112],"weak":[109],"bounding":[110],"box":[111],"weakest":[114],"image-level":[115],"class":[116],"Based":[118],"these":[120],"models,":[122],"further":[124],"adaptive":[127],"weight":[128,140,172],"assignment":[129],"procedure":[130],"across":[131],"clients,":[133],"where":[134],"learns":[137],"aggregation":[139,171],"during":[141],"global":[143],"update.":[145],"Compared":[146],"methods,":[150],"FedMix":[151,193,209],"not":[152],"only":[153],"breaks":[154],"through":[155,206],"constraint":[157],"single":[160],"level":[161],"but":[165],"also":[166],"can":[167],"dynamically":[168],"adjust":[169],"client,":[176],"achieving":[177],"rich":[178],"yet":[179],"discriminative":[180],"feature":[181],"representations.":[182],"Experimental":[183],"results":[184],"publicly-available":[187],"datasets":[188],"validate":[189],"proposed":[192],"outperforms":[194],"state-of-the-art":[196],"large":[200],"margin.":[201],"addition,":[203],"demonstrate":[205],"experiments":[207],"extendable":[211],"multi-class":[213],"much":[218],"more":[219],"feasible":[220],"clinical":[222],"scenarios.":[223],"code":[225],"at:":[228],"https://github.com/Jwicaksana/FedMix.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":17}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
