{"id":"https://openalex.org/W4408356760","doi":"https://doi.org/10.1109/icassp49660.2025.10889319","title":"PAFedMIS: Personalized Asynchronous Federated Learning for Medical Image Segmentation","display_name":"PAFedMIS: Personalized Asynchronous Federated Learning for Medical Image Segmentation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408356760","doi":"https://doi.org/10.1109/icassp49660.2025.10889319"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889319","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":"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/A5100421343","display_name":"Yi Li","orcid":"https://orcid.org/0000-0001-8425-7871"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["Dalian University of Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005903391","display_name":"Yue Hua","orcid":"https://orcid.org/0000-0003-0728-9591"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Hua","raw_affiliation_strings":["Dalian University of Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018639123","display_name":"Xin Zheng","orcid":"https://orcid.org/0000-0001-6686-2090"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xin Zheng","raw_affiliation_strings":["Griffith University,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University,Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056699273","display_name":"Yanqing Guo","orcid":"https://orcid.org/0000-0001-9123-140X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqing Guo","raw_affiliation_strings":["Dalian University of Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100408160","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-9620-3413"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Dalian University of Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85606132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9868999719619751,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9868999719619751,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9797999858856201,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.974399983882904,"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":0.827633261680603},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6002714037895203},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.5978546142578125},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5561754703521729},{"id":"https://openalex.org/keywords/asynchronous-learning","display_name":"Asynchronous learning","score":0.4684705138206482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4570574462413788},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.361849308013916},{"id":"https://openalex.org/keywords/synchronous-learning","display_name":"Synchronous learning","score":0.12343049049377441},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06716412305831909},{"id":"https://openalex.org/keywords/teaching-method","display_name":"Teaching method","score":0.062132030725479126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.827633261680603},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6002714037895203},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.5978546142578125},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5561754703521729},{"id":"https://openalex.org/C2777072894","wikidata":"https://www.wikidata.org/wiki/Q4812204","display_name":"Asynchronous learning","level":5,"score":0.4684705138206482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4570574462413788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.361849308013916},{"id":"https://openalex.org/C19122763","wikidata":"https://www.wikidata.org/wiki/Q7662215","display_name":"Synchronous learning","level":4,"score":0.12343049049377441},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06716412305831909},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.062132030725479126},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889319","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":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W3047304572","https://openalex.org/W3091870957","https://openalex.org/W3111512201","https://openalex.org/W4285218634","https://openalex.org/W4303649515","https://openalex.org/W4361289277","https://openalex.org/W4366988824","https://openalex.org/W4388459526","https://openalex.org/W4401541626","https://openalex.org/W6728757088","https://openalex.org/W6760214840","https://openalex.org/W6761152059","https://openalex.org/W6770590064"],"related_works":["https://openalex.org/W4226047841","https://openalex.org/W2156559761","https://openalex.org/W3020208395","https://openalex.org/W2496167052","https://openalex.org/W1956936791","https://openalex.org/W2041343407","https://openalex.org/W4401821536","https://openalex.org/W2058515809","https://openalex.org/W4295242624","https://openalex.org/W2946278724"],"abstract_inverted_index":{"As":[0],"privacy":[1],"protection":[2],"gains":[3],"momentum,":[4],"federated":[5],"learning":[6,90],"has":[7],"emerged":[8],"as":[9],"a":[10,28,85],"cutting-edge":[11],"approach":[12],"in":[13,32,40,113],"medical":[14,21,67,114],"image":[15,22,115],"analysis.":[16],"However,":[17],"the":[18,49,59,70,73,100,104,110,122],"intricacies":[19],"of":[20,30,103,129],"segmentation":[23],"task":[24],"have":[25],"led":[26],"to":[27,58,98],"dearth":[29],"research":[31],"this":[33],"domain,":[34],"with":[35,48],"existing":[36],"studies":[37],"falling":[38],"short":[39],"tackling":[41],"two":[42],"pivotal":[43],"challenges:":[44],"The":[45],"traditional":[46],"model":[47,52,124],"uniform":[50],"global":[51],"underperforms":[53],"for":[54,91],"certain":[55],"clients":[56,76],"due":[57],"heterogeneity":[60],"and":[61,75,107,126],"non-Independent":[62],"Identically":[63],"Distributed(non-IID)":[64],"data":[65,106],"across":[66],"institutions.":[68],"And":[69],"communication":[71],"between":[72],"server":[74],"often":[77],"incurs":[78],"significant":[79],"time":[80],"costs.":[81],"This":[82],"paper":[83],"introduces":[84],"novel":[86],"Personalized":[87],"Asynchronous":[88],"Federated":[89],"Medical":[92],"Image":[93],"Segmentation":[94],"model,":[95],"dubbed":[96],"PAFedMIS,":[97],"mitigate":[99],"negative":[101],"impact":[102],"heterogeneous":[105],"fully":[108],"utilized":[109],"waiting":[111],"time,":[112],"segmentation.":[116],"Comprehensive":[117],"experiments":[118],"on":[119],"ISIC2018":[120],"demonstrate":[121],"enhanced":[123],"accuracy":[125],"training":[127],"efficiency":[128],"PAFedMIS.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
