{"id":"https://openalex.org/W4405022541","doi":"https://doi.org/10.26599/bdma.2024.9020067","title":"Federated Learning on Heterogeneous Images in Internet of Biomedical Things","display_name":"Federated Learning on Heterogeneous Images in Internet of Biomedical Things","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4405022541","doi":"https://doi.org/10.26599/bdma.2024.9020067"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2024.9020067","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2024.9020067","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/bdma.2024.9020067","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101578782","display_name":"Yusen Li","orcid":"https://orcid.org/0000-0002-8283-0053"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yusen Li","raw_affiliation_strings":["College of Information Science and Technology, Jinan University,Guangzhou,China,510632"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058049017","display_name":"Zaobo He","orcid":"https://orcid.org/0000-0002-7504-4847"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaobo He","raw_affiliation_strings":["College of Information Science and Technology, Jinan University,Guangzhou,China,510632"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University,Guangzhou,China,510632","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722327","display_name":"Peilin He","orcid":"https://orcid.org/0000-0003-3553-9949"},"institutions":[{"id":"https://openalex.org/I4210159968","display_name":"Duke Kunshan University","ror":"https://ror.org/04sr5ys16","country_code":"CN","type":"education","lineage":["https://openalex.org/I170897317","https://openalex.org/I37461747","https://openalex.org/I4210159968"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peilin He","raw_affiliation_strings":["Duke Kunshan University,Division of Natural and Applied Sciences,Suzhou,China,215316"],"affiliations":[{"raw_affiliation_string":"Duke Kunshan University,Division of Natural and Applied Sciences,Suzhou,China,215316","institution_ids":["https://openalex.org/I4210159968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035290397","display_name":"Yulin Cao","orcid":"https://orcid.org/0009-0005-0349-1006"},"institutions":[{"id":"https://openalex.org/I20616075","display_name":"Qinghai Normal University","ror":"https://ror.org/03az1t892","country_code":"CN","type":"education","lineage":["https://openalex.org/I20616075"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Cao","raw_affiliation_strings":["College of Computer, Qinghai Normal University,Qinghai,China,810000"],"affiliations":[{"raw_affiliation_string":"College of Computer, Qinghai Normal University,Qinghai,China,810000","institution_ids":["https://openalex.org/I20616075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101578782"],"corresponding_institution_ids":["https://openalex.org/I159948400"],"apc_list":null,"apc_paid":null,"fwci":1.3893,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8521348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"7","issue":"4","first_page":"1237","last_page":"1250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991000294685364,"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":0.9991000294685364,"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/T10862","display_name":"AI in cancer detection","score":0.9865000247955322,"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.823948323726654},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6371972560882568},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6109443306922913},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5595189929008484},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5472570657730103},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4854736626148224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3856222629547119},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3733328580856323},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.369220495223999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32180190086364746},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16938051581382751},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10462683439254761}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.823948323726654},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6371972560882568},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6109443306922913},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5595189929008484},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5472570657730103},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4854736626148224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3856222629547119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3733328580856323},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.369220495223999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32180190086364746},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16938051581382751},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10462683439254761},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2024.9020067","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2024.9020067","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5c857ca36b824b96b896d743fced38a1","is_oa":true,"landing_page_url":"https://doaj.org/article/5c857ca36b824b96b896d743fced38a1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 7, Iss 4, Pp 1237-1250 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2024.9020067","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2024.9020067","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5386323653","display_name":null,"funder_award_id":"62302196","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2618530766","https://openalex.org/W2886281300","https://openalex.org/W2902644322","https://openalex.org/W2977072935","https://openalex.org/W2977678469","https://openalex.org/W3006191871","https://openalex.org/W3013948229","https://openalex.org/W3042621011","https://openalex.org/W3111512201","https://openalex.org/W3116067625","https://openalex.org/W3182158470","https://openalex.org/W4220779061","https://openalex.org/W4283796083","https://openalex.org/W4285242894","https://openalex.org/W4285606214","https://openalex.org/W4291288469","https://openalex.org/W4308573933","https://openalex.org/W4312634912","https://openalex.org/W4324368142","https://openalex.org/W4385245566","https://openalex.org/W4385627109","https://openalex.org/W4385768077","https://openalex.org/W4388116519","https://openalex.org/W4394966916","https://openalex.org/W4398252219","https://openalex.org/W6728757088","https://openalex.org/W6736057607","https://openalex.org/W6739554518","https://openalex.org/W6752029299","https://openalex.org/W6755174528","https://openalex.org/W6757139170","https://openalex.org/W6759238902","https://openalex.org/W6762937607","https://openalex.org/W6768570320","https://openalex.org/W6770590064","https://openalex.org/W6772318479","https://openalex.org/W6774195376","https://openalex.org/W6776684981","https://openalex.org/W6779174293","https://openalex.org/W6779269186","https://openalex.org/W6784336702","https://openalex.org/W6791102956","https://openalex.org/W6791444617","https://openalex.org/W6795843344","https://openalex.org/W6838932647","https://openalex.org/W6839362776","https://openalex.org/W6842749662"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"allows":[3],"the":[4,21,85,108,142,153,156,172,194],"Internet":[5],"of":[6,23,54,123,141,155,174,190,197],"bioMedical":[7],"Things":[8],"(IoMT)":[9],"devices":[10,99],"to":[11,49,65,145,169],"collaboratively":[12],"train":[13],"a":[14,61,74,101,135,165],"global":[15],"model":[16,88],"without":[17,151],"centralizing":[18],"data,":[19,115],"yet":[20],"heterogeneity":[22],"biomedical":[24],"images":[25,68],"poses":[26],"challenges":[27],"in":[28,69,177],"achieving":[29],"optimal":[30],"performance":[31,196],"for":[32,89,160],"each":[33,113],"IoMT":[34,98],"device.":[35],"Although":[36],"many":[37],"personalized":[38],"FL":[39,63],"methods":[40,199],"have":[41],"been":[42],"proposed,":[43],"their":[44],"adaptability":[45],"is":[46],"often":[47],"limited":[48],"data":[50,118,130,149,191],"with":[51],"certain":[52],"levels":[53],"heterogeneity.":[55,131],"In":[56],"this":[57],"paper,":[58],"we":[59,72,133,163],"propose":[60,73,134],"novel":[62],"method":[64,76,168],"handle":[66],"heterogeneous":[67],"IoMT.":[70],"First,":[71],"gradient-fusion":[75,157],"that":[77,138],"integrates":[78],"both":[79],"shared":[80,93],"and":[81,125,188],"local":[82,109,178],"gradients":[83],"into":[84],"locally":[86],"adapted":[87],"improved":[90],"personalization.":[91],"The":[92],"gradients,":[94,110],"aggregated":[95],"from":[96,112],"all":[97],"through":[100],"learnable":[102],"matrix,":[103],"capture":[104],"collective":[105,124],"intelligence,":[106],"while":[107],"originating":[111],"device's":[114],"reflect":[116],"individual":[117],"distributions.":[119],"This":[120],"dynamic":[121],"integration":[122],"device-specific":[126],"insights":[127],"effectively":[128],"mitigates":[129],"Second,":[132],"privacy-enhanced":[136],"approach":[137],"delegates":[139],"part":[140],"gradient":[143],"computation":[144],"devices,":[146],"thereby":[147],"protecting":[148],"privacy":[150],"compromising":[152],"efficacy":[154],"process.":[158],"Finally,":[159],"enhanced":[161],"performance,":[162],"introduce":[164],"layer-wise":[166],"aggregation":[167],"precisely":[170],"measure":[171],"contribution":[173],"different":[175],"layers":[176],"models.":[179],"Extensive":[180],"evaluations":[181],"on":[182],"imaging":[183],"datasets,":[184],"featuring":[185],"various":[186],"types":[187],"degrees":[189],"heterogeneity,":[192],"demonstrate":[193],"superior":[195],"our":[198],"over":[200],"existing":[201],"baselines.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}