{"id":"https://openalex.org/W4388517845","doi":"https://doi.org/10.1109/fuzz52849.2023.10309783","title":"An Application for Federated Learning of XAI Models in Edge Computing Environments","display_name":"An Application for Federated Learning of XAI Models in Edge Computing Environments","publication_year":2023,"publication_date":"2023-08-13","ids":{"openalex":"https://openalex.org/W4388517845","doi":"https://doi.org/10.1109/fuzz52849.2023.10309783"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz52849.2023.10309783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz52849.2023.10309783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Fuzzy Systems (FUZZ)","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/A5007774813","display_name":"Alessio Bechini","orcid":"https://orcid.org/0000-0002-5951-1265"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessio Bechini","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy,56122"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy,56122","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072271741","display_name":"Mattia Daole","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Daole","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy,56122"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy,56122","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050435146","display_name":"Pietro Ducange","orcid":"https://orcid.org/0000-0003-4510-1350"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Ducange","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy,56122"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy,56122","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057031606","display_name":"Francesco Marcelloni","orcid":"https://orcid.org/0000-0002-5895-876X"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Marcelloni","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy,56122"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy,56122","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079169024","display_name":"Alessandro Renda","orcid":"https://orcid.org/0000-0002-0482-5048"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Renda","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy,56122"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy,56122","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007774813"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":0.6957,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76574439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9944999814033508,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9937999844551086,"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":0.8813864588737488},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.7607695460319519},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6052272319793701},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5925346612930298},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5366690754890442},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5308136940002441},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5032936930656433},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.500978946685791},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5000543594360352},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4591298997402191},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4446149468421936},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4186481833457947},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3699992895126343},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.344193696975708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2808457314968109},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21323427557945251},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.12899985909461975},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09832990169525146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8813864588737488},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.7607695460319519},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6052272319793701},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5925346612930298},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5366690754890442},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5308136940002441},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5032936930656433},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.500978946685791},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5000543594360352},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4591298997402191},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4446149468421936},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4186481833457947},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3699992895126343},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.344193696975708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2808457314968109},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21323427557945251},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.12899985909461975},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09832990169525146},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fuzz52849.2023.10309783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz52849.2023.10309783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1214150","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1214150","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:arts.units.it:11368/3120405","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10309783","pdf_url":null,"source":{"id":"https://openalex.org/S4306400480","display_name":"ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142444530","host_organization_name":"University of Trieste","host_organization_lineage":["https://openalex.org/I142444530"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3337113076","display_name":null,"funder_award_id":"101015956","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2079325629","https://openalex.org/W2416799949","https://openalex.org/W2766103888","https://openalex.org/W2803750062","https://openalex.org/W2912213068","https://openalex.org/W2950865323","https://openalex.org/W2963819344","https://openalex.org/W2981731882","https://openalex.org/W3015636663","https://openalex.org/W3022769788","https://openalex.org/W3023478069","https://openalex.org/W3091180885","https://openalex.org/W3105883416","https://openalex.org/W3119126442","https://openalex.org/W3131773579","https://openalex.org/W3163919248","https://openalex.org/W3177667502","https://openalex.org/W3207771494","https://openalex.org/W4205708288","https://openalex.org/W4223653860","https://openalex.org/W4293347245","https://openalex.org/W4295767905","https://openalex.org/W4302018437","https://openalex.org/W4310342251","https://openalex.org/W4385431427","https://openalex.org/W6728757088","https://openalex.org/W6842325012"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W3214037210"],"abstract_inverted_index":{"The":[0,116,139],"next":[1,129],"generation":[2,130],"of":[3,11,20,30,40,48,58,106,125,168,172],"wireless":[4,131],"networks":[5],"will":[6,15],"feature":[7],"an":[8,17,88,100,112],"increasing":[9],"number":[10],"connected":[12],"devices,":[13],"which":[14],"produce":[16],"unprecedented":[18],"volume":[19],"data.":[21,94],"Knowledge":[22],"extraction":[23],"from":[24],"decentralized":[25],"data":[26,70],"imposes":[27],"the":[28,38,41,45,56,123,146,149,157],"exploitation":[29],"computing":[31,54,60,64,114],"and":[32,43,65,137,151],"learning":[33],"paradigms":[34],"able":[35],"to":[36,69,82],"tame":[37],"complexity":[39],"network":[42,178],"meet":[44],"growing":[46],"requirement":[47],"trustworthiness.":[49],"In":[50,95],"this":[51,96],"regard,":[52],"edge":[53,113],"overcomes":[55],"limitations":[57],"cloud":[59],"by":[61],"moving":[62],"virtualized":[63],"storage":[66],"resources":[67],"closer":[68],"sources.":[71],"Furthermore,":[72],"Federated":[73,104],"Learning":[74,105],"has":[75],"been":[76],"recently":[77],"proposed":[78],"as":[79],"a":[80,119,161,166,176],"means":[81],"let":[83],"multiple":[84],"parties":[85],"collaboratively":[86],"train":[87],"ML":[89],"model":[90],"without":[91],"disclosing":[92],"private":[93],"paper,":[97],"we":[98,155],"propose":[99],"application":[101,140,158],"that":[102],"enables":[103],"eXplainable":[107],"AI":[108,127],"models":[109],"(Fed-XAI)":[110],"in":[111,128,160,175],"environment.":[115],"proposal":[117],"represents":[118],"step":[120],"forward":[121],"towards":[122],"adoption":[124],"trustworthy":[126],"networks,":[132],"ensuring":[133],"both":[134],"privacy":[135],"preservation":[136],"explainability.":[138],"components":[141],"are":[142],"described,":[143],"along":[144],"with":[145],"workflow":[147],"for":[148,164],"training":[150],"inference":[152],"stages.":[153],"Finally,":[154],"discuss":[156],"deployment,":[159],"simulated":[162],"setting,":[163],"addressing":[165],"task":[167],"video":[169],"streaming":[170],"Quality":[171],"Experience":[173],"forecasting":[174],"vehicular":[177],"case":[179],"study.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-30T08:08:38.191290","created_date":"2025-10-10T00:00:00"}
