{"id":"https://openalex.org/W4403534961","doi":"https://doi.org/10.1109/tmi.2024.3483221","title":"FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-Supervised Medical Image Segmentation","display_name":"FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-Supervised Medical Image Segmentation","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4403534961","doi":"https://doi.org/10.1109/tmi.2024.3483221","pmid":"https://pubmed.ncbi.nlm.nih.gov/39423080"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3483221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3483221","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/A5100459666","display_name":"Li Lin","orcid":"https://orcid.org/0000-0002-9789-0825"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Lin","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621836","display_name":"Yixiang Liu","orcid":"https://orcid.org/0000-0001-8263-563X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiang Liu","raw_affiliation_strings":["Jiaxing Research Institute, SUSTech, Jiaxing, China","Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Jiaxing Research Institute, SUSTech, Jiaxing, China","institution_ids":["https://openalex.org/I4210092870"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064221165","display_name":"Jiewei Wu","orcid":"https://orcid.org/0000-0003-0555-6086"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiewei Wu","raw_affiliation_strings":["Jiaxing Research Institute, SUSTech, Jiaxing, China","Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Jiaxing Research Institute, SUSTech, Jiaxing, China","institution_ids":["https://openalex.org/I4210092870"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025516568","display_name":"Pujin Cheng","orcid":"https://orcid.org/0009-0000-4844-5146"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pujin Cheng","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102060229","display_name":"Zhiyuan Cai","orcid":"https://orcid.org/0009-0008-2374-6186"},"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":"Zhiyuan Cai","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110692625","display_name":"Kenneth K. Y. Wong","orcid":"https://orcid.org/0000-0003-3668-3539"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kenneth K. Y. Wong","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080168999","display_name":"Xiaoying Tang","orcid":"https://orcid.org/0000-0002-7549-6560"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Tang","raw_affiliation_strings":["Jiaxing Research Institute, SUSTech, Jiaxing, China","Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Jiaxing Research Institute, SUSTech, Jiaxing, China","institution_ids":["https://openalex.org/I4210092870"]},{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100459666"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":4.0717,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9435779,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"44","issue":"3","first_page":"1127","last_page":"1139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9793999791145325,"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/T10862","display_name":"AI in cancer detection","score":0.9769999980926514,"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/image-segmentation","display_name":"Image segmentation","score":0.7296767234802246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177713513374329},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.654737114906311},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.631650447845459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5554189682006836},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5297853946685791},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5014643669128418},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.47614574432373047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.379770964384079}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7296767234802246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177713513374329},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.654737114906311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.631650447845459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5554189682006836},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5297853946685791},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5014643669128418},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.47614574432373047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.379770964384079}],"mesh":[{"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":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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},{"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2024.3483221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3483221","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:39423080","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39423080","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:1783.1-147010","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-147010","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":[],"awards":[{"id":"https://openalex.org/G1229495996","display_name":null,"funder_award_id":"KCXFZ2020122117340001","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G3419736287","display_name":null,"funder_award_id":"T2422012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G427881804","display_name":null,"funder_award_id":"T2422012, 62071210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5564020545","display_name":null,"funder_award_id":"2023YFC2415400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7508651374","display_name":null,"funder_award_id":"62071210","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/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2034786340","https://openalex.org/W2049522781","https://openalex.org/W2106033751","https://openalex.org/W2560328367","https://openalex.org/W2768181417","https://openalex.org/W2955058313","https://openalex.org/W2963198662","https://openalex.org/W2979448322","https://openalex.org/W2997286550","https://openalex.org/W3004531689","https://openalex.org/W3013935260","https://openalex.org/W3021654819","https://openalex.org/W3107887114","https://openalex.org/W3111741353","https://openalex.org/W3129501203","https://openalex.org/W3133814152","https://openalex.org/W3169044395","https://openalex.org/W3174708193","https://openalex.org/W3185341429","https://openalex.org/W3203049650","https://openalex.org/W3204258583","https://openalex.org/W3204275303","https://openalex.org/W3204597713","https://openalex.org/W3207676276","https://openalex.org/W4206693420","https://openalex.org/W4214961286","https://openalex.org/W4280619489","https://openalex.org/W4282915608","https://openalex.org/W4284692019","https://openalex.org/W4285229324","https://openalex.org/W4290999018","https://openalex.org/W4293237729","https://openalex.org/W4295747380","https://openalex.org/W4312651322","https://openalex.org/W4312974914","https://openalex.org/W4313151123","https://openalex.org/W4313181443","https://openalex.org/W4313316160","https://openalex.org/W4315473049","https://openalex.org/W4382463479","https://openalex.org/W4385338552","https://openalex.org/W4386065446","https://openalex.org/W4386282969","https://openalex.org/W4386702648","https://openalex.org/W4386826466","https://openalex.org/W4387211502","https://openalex.org/W4387642396","https://openalex.org/W4390889814","https://openalex.org/W4391289335","https://openalex.org/W4402781391","https://openalex.org/W4403071691","https://openalex.org/W4405812581","https://openalex.org/W6687197975","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6776305959","https://openalex.org/W6789305514","https://openalex.org/W6791102956","https://openalex.org/W6798983732","https://openalex.org/W6838865580","https://openalex.org/W6842749662","https://openalex.org/W6855838334"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL)":[2],"effectively":[3],"mitigates":[4],"the":[5,36,47,53,62,139,162,166,181,206,226],"data":[6,19,40,133,244],"silo":[7],"challenge":[8],"brought":[9],"about":[10],"by":[11,129],"policies":[12],"and":[13,106,136,165,190,243],"privacy":[14],"concerns,":[15],"implicitly":[16],"harnessing":[17],"more":[18],"for":[20,115,179],"deep":[21],"model":[22],"training.":[23,240],"However,":[24],"traditional":[25],"centralized":[26,239],"FL":[27,78,101],"models":[28],"grapple":[29],"with":[30,103,143,230],"diverse":[31,82],"multi-center":[32],"data,":[33,196],"especially":[34],"in":[35,43,185],"face":[37],"of":[38,49,64,183,228,236],"significant":[39],"heterogeneity,":[41],"notably":[42],"medical":[44,50,116,218],"contexts.":[45],"In":[46,93,119],"realm":[48],"image":[51,117,219],"segmentation,":[52],"growing":[54],"imperative":[55],"to":[56,109,157,160,194,204],"curtail":[57],"annotation":[58,83],"costs":[59],"has":[60],"amplified":[61],"importance":[63],"weakly-supervised":[65,186],"techniques":[66],"which":[67,88],"utilize":[68],"sparse":[69],"annotations":[70],"such":[71,94],"as":[72],"points,":[73],"scribbles,":[74],"etc.":[75],"A":[76],"pragmatic":[77],"paradigm":[79],"shall":[80],"accommodate":[81],"formats":[84],"across":[85],"different":[86,223],"sites,":[87],"research":[89],"topic":[90],"remains":[91],"under-investigated.":[92],"context,":[95],"we":[96],"propose":[97],"a":[98,121,147,170,210],"novel":[99],"personalized":[100,132],"framework":[102],"learnable":[104,122,131],"prompt":[105,125,175],"aggregation":[107,200],"(FedLPPA)":[108],"uniformly":[110],"leverage":[111],"heterogeneous":[112],"weak":[113],"supervision":[114,140,167],"segmentation.":[118],"FedLPPA,":[120,229],"universal":[123],"knowledge":[124],"is":[126,177,202],"maintained,":[127],"complemented":[128],"multiple":[130],"distribution":[134,164],"prompts":[135,137,151],"representing":[138],"sparsity.":[141],"Integrated":[142],"sample":[144],"features":[145],"through":[146],"dual-attention":[148],"mechanism,":[149],"those":[150],"empower":[152],"each":[153],"local":[154,163,195],"task":[155,207],"decoder":[156,208],"adeptly":[158],"adjust":[159],"both":[161],"form.":[168],"Concurrently,":[169],"dual-decoder":[171],"strategy,":[172],"predicated":[173],"on":[174,209,215],"similarity,":[176],"introduced":[178],"enhancing":[180],"generation":[182],"pseudo-labels":[184],"learning,":[187],"alleviating":[188],"overfitting":[189],"noise":[191],"accumulation":[192],"inherent":[193],"while":[197],"an":[198],"adaptable":[199],"method":[201],"employed":[203],"customize":[205],"parameter-wise":[211],"basis.":[212],"Extensive":[213],"experiments":[214],"four":[216],"distinct":[217],"segmentation":[220],"tasks":[221],"involving":[222],"modalities":[224],"underscore":[225],"superiority":[227],"its":[231],"efficacy":[232],"closely":[233],"parallels":[234],"that":[235],"fully":[237],"supervised":[238],"Our":[241],"code":[242],"will":[245],"be":[246],"available":[247],"at":[248],"https://github.com/llmir/FedLPPA.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
