{"id":"https://openalex.org/W4401459347","doi":"https://doi.org/10.3390/s24165142","title":"Differentially Private Client Selection and Resource Allocation in Federated Learning for Medical Applications Using Graph Neural Networks","display_name":"Differentially Private Client Selection and Resource Allocation in Federated Learning for Medical Applications Using Graph Neural Networks","publication_year":2024,"publication_date":"2024-08-08","ids":{"openalex":"https://openalex.org/W4401459347","doi":"https://doi.org/10.3390/s24165142","pmid":"https://pubmed.ncbi.nlm.nih.gov/39204839","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/11360477"},"language":"en","primary_location":{"id":"doi:10.3390/s24165142","doi":"https://doi.org/10.3390/s24165142","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165142","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5142/pdf?version=1723192281","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/16/5142/pdf?version=1723192281","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067906652","display_name":"Sotirios Messinis","orcid":"https://orcid.org/0000-0001-5998-2940","observed_orcids":["https://orcid.org/0000-0001-5998-2940"]},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]},{"id":"https://openalex.org/I4210144519","display_name":"Institute of Communication and Computer Systems","ror":"https://ror.org/0483fn738","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210144519"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Sotirios C. Messinis","raw_affiliation_strings":["Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0001-5998-2940","affiliations":[{"raw_affiliation_string":"Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece","institution_ids":["https://openalex.org/I174458059","https://openalex.org/I4210144519"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046775026","display_name":"Nicholas \u0395. Protonotarios","orcid":"https://orcid.org/0000-0002-7701-5644","observed_orcids":["https://orcid.org/0000-0002-7701-5644"]},"institutions":[{"id":"https://openalex.org/I206127235","display_name":"Academy of Athens","ror":"https://ror.org/00qsdn986","country_code":"GR","type":"education","lineage":["https://openalex.org/I206127235"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nicholas E. Protonotarios","raw_affiliation_strings":["Mathematics Research Center, Academy of Athens, 11527 Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-7701-5644","affiliations":[{"raw_affiliation_string":"Mathematics Research Center, Academy of Athens, 11527 Athens, Greece","institution_ids":["https://openalex.org/I206127235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033117805","display_name":"Nikolaos D. Doulamis","orcid":"https://orcid.org/0000-0002-4064-8990","observed_orcids":["https://orcid.org/0000-0002-4064-8990"]},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]},{"id":"https://openalex.org/I4210144519","display_name":"Institute of Communication and Computer Systems","ror":"https://ror.org/0483fn738","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210144519"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Doulamis","raw_affiliation_strings":["Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-4064-8990","affiliations":[{"raw_affiliation_string":"Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece","institution_ids":["https://openalex.org/I174458059","https://openalex.org/I4210144519"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067906652"],"corresponding_institution_ids":["https://openalex.org/I174458059","https://openalex.org/I4210144519"],"apc_list":{"value":2600,"currency":"CHF","value_usd":2955},"apc_paid":{"value":2600,"currency":"CHF","value_usd":2955},"fwci":1.266,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80224124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"24","issue":"16","first_page":"5142","last_page":"5142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.0,"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/federated-learning","display_name":"federated learning","score":0.996999979019165},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"differential privacy","score":0.9800000190734863},{"id":"https://openalex.org/keywords/customer-selection","display_name":"client selection","score":0.984000027179718},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"resource allocation","score":0.9980000257492065},{"id":"https://openalex.org/keywords/graph-attention-networks","display_name":"graph attention networks","score":0.9819999933242798},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.906000018119812},{"id":"https://openalex.org/keywords/medical-data-privacy","display_name":"medical data privacy","score":0.7289999723434448},{"id":"https://openalex.org/keywords/data-heterogeneity","display_name":"data heterogeneity","score":0.9190000295639038},{"id":"https://openalex.org/keywords/communication-efficiency","display_name":"communication efficiency","score":0.7419999837875366},{"id":"https://openalex.org/keywords/pediatric-appendicitis","display_name":"pediatric appendicitis","score":0.7879999876022339},{"id":"https://openalex.org/keywords/patient-privacy","display_name":"patient privacy","score":0.4410000145435333}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8502202033996582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625609636306763},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6554036140441895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6280920505523682},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5257623791694641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5249450206756592},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4324158728122711},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41364532709121704},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41302046179771423},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3268941640853882},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1486053466796875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D040841","descriptor_name":"Resource Allocation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.3390/s24165142","doi":"https://doi.org/10.3390/s24165142","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165142","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5142/pdf?version=1723192281","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11360477","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11360477","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11360477/pdf/sensors-24-05142.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmid:39204839","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39204839","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,"listed_in":[],"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":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:3f9245fc78684c4d98377bb0664d951f","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/3f9245fc78684c4d98377bb0664d951f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 16, p 5142 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24165142","doi":"https://doi.org/10.3390/s24165142","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165142","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5142/pdf?version=1723192281","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.428600013256073,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G511431143","display_name":null,"funder_award_id":"101094901","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G6161857907","display_name":"SECURITY PROTECTION TOOLS FOR NETWORKED MEDICAL DEVICES","funder_award_id":"101094901","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401459347.pdf","grobid_xml":"https://content.openalex.org/works/W4401459347.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W2018934112","https://openalex.org/W2104085672","https://openalex.org/W2766453196","https://openalex.org/W2912161124","https://openalex.org/W2962741900","https://openalex.org/W2995022099","https://openalex.org/W3012501605","https://openalex.org/W3036165397","https://openalex.org/W3090615085","https://openalex.org/W3091201620","https://openalex.org/W3091870957","https://openalex.org/W3108203525","https://openalex.org/W3111919937","https://openalex.org/W3128515475","https://openalex.org/W3173341352","https://openalex.org/W3200840849","https://openalex.org/W3204752714","https://openalex.org/W3208259747","https://openalex.org/W3211856354","https://openalex.org/W4200168321","https://openalex.org/W4210398162","https://openalex.org/W4213044365","https://openalex.org/W4221146015","https://openalex.org/W4226461837","https://openalex.org/W4286888406","https://openalex.org/W4309080560","https://openalex.org/W4319970843","https://openalex.org/W4320005491","https://openalex.org/W4324116556","https://openalex.org/W4327529147","https://openalex.org/W4328105406","https://openalex.org/W4360609574","https://openalex.org/W4367665841","https://openalex.org/W4372348664","https://openalex.org/W4377293783","https://openalex.org/W4385338532","https://openalex.org/W4385455480","https://openalex.org/W4385568263","https://openalex.org/W4385764213","https://openalex.org/W4386094835","https://openalex.org/W4386243291","https://openalex.org/W4386608426","https://openalex.org/W4387449093","https://openalex.org/W4387870690","https://openalex.org/W4388675115","https://openalex.org/W4388686789","https://openalex.org/W4388934436","https://openalex.org/W4389722404","https://openalex.org/W4390603935","https://openalex.org/W4390829176","https://openalex.org/W4391147969","https://openalex.org/W4391248691","https://openalex.org/W4391661565","https://openalex.org/W4392175371","https://openalex.org/W4392384795","https://openalex.org/W4392902899","https://openalex.org/W4393533574","https://openalex.org/W4400037364"],"related_works":["https://openalex.org/W7208811849","https://openalex.org/W4409113098","https://openalex.org/W4400037364","https://openalex.org/W7163538413","https://openalex.org/W4214940550","https://openalex.org/W7154571249","https://openalex.org/W7211903149","https://openalex.org/W7203926172","https://openalex.org/W7203872110","https://openalex.org/W7130693420"],"abstract_inverted_index":{"Federated":[0],"learning":[1,12],"(FL)":[2],"has":[3,174],"emerged":[4],"as":[5],"a":[6,50,159,211],"pivotal":[7],"paradigm":[8],"for":[9,198,214],"training":[10,28,119],"machine":[11],"models":[13,230],"across":[14,167],"decentralized":[15],"devices":[16,32],"while":[17],"maintaining":[18],"data":[19,75,233],"privacy.":[20,43],"In":[21,44],"the":[22,72,94,100,118,126,133],"healthcare":[23],"domain,":[24],"FL":[25,151,180,219],"enables":[26],"collaborative":[27,232],"among":[29,97],"diverse":[30],"medical":[31,83,220],"and":[33,38,63,77,103,145,161,170,191,204,217,231],"institutions,":[34],"enhancing":[35],"model":[36,141,192],"robustness":[37],"generalizability":[39],"without":[40,187],"compromising":[41,188],"patient":[42,225],"this":[45],"paper,":[46],"we":[47,91],"propose":[48],"DPS-GAT,":[49],"novel":[51],"approach":[52],"integrating":[53],"graph":[54,87],"attention":[55],"networks":[56,89],"(GATs)":[57],"with":[58],"differentially":[59],"private":[60],"client":[61,165,189],"selection":[62,101],"resource":[64,106,146],"allocation":[65],"strategies":[66],"in":[67,82,138],"FL.":[68],"Our":[69,121],"methodology":[70],"addresses":[71],"challenges":[73],"of":[74,135,140,155,164],"heterogeneity":[76],"limited":[78],"communication":[79],"resources":[80],"inherent":[81],"applications.":[84],"By":[85],"employing":[86],"neural":[88],"(GNNs),":[90],"effectively":[92],"capture":[93],"relational":[95],"structures":[96],"clients,":[98],"optimizing":[99],"process":[102],"ensuring":[104],"efficient":[105,218],"distribution.":[107],"Differential":[108],"privacy":[109,143,172,185,203],"mechanisms":[110],"are":[111,206],"incorporated,":[112],"to":[113,149,157],"safeguard":[114],"sensitive":[115],"information":[116],"throughout":[117],"process.":[120],"extensive":[122],"experiments,":[123],"based":[124],"on":[125],"Regensburg":[127],"pediatric":[128],"appendicitis":[129],"open":[130],"dataset,":[131],"demonstrated":[132],"superiority":[134],"our":[136],"approach,":[137],"terms":[139],"accuracy,":[142],"preservation,":[144],"efficiency,":[147],"compared":[148],"traditional":[150],"methods.":[152],"The":[153],"ability":[154],"DPS-GAT":[156],"maintain":[158],"high":[160],"stable":[162],"number":[163],"selections":[166],"various":[168],"rounds":[169],"differential":[171],"budgets":[173],"significant":[175],"practical":[176],"implications,":[177],"indicating":[178],"that":[179],"systems":[181],"can":[182],"achieve":[183],"strong":[184],"guarantees":[186],"engagement":[190],"performance.":[193],"This":[194,208],"balance":[195],"is":[196],"essential":[197],"real-world":[199],"applications":[200],"where":[201],"both":[202],"performance":[205],"paramount.":[207],"study":[209],"suggests":[210],"promising":[212],"direction":[213],"more":[215],"secure":[216],"applications,":[221],"which":[222],"could":[223],"improve":[224],"care":[226],"through":[227],"enhanced":[228],"predictive":[229],"utilization.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-08-10T00:00:00"}