{"id":"https://openalex.org/W4403487713","doi":"https://doi.org/10.3233/faia240671","title":"PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning","display_name":"PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403487713","doi":"https://doi.org/10.3233/faia240671"},"language":"en","primary_location":{"id":"doi:10.3233/faia240671","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240671","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia240671","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093022526","display_name":"Luca Corbucci","orcid":"https://orcid.org/0000-0001-5427-5518"},"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":"Luca Corbucci","raw_affiliation_strings":["University of Pisa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058641659","display_name":"Mikko Heikkil\u00e4","orcid":"https://orcid.org/0000-0001-5753-8643"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mikko A. Heikkil\u00e4","raw_affiliation_strings":["Telef\u00f3nica Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telef\u00f3nica Research","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070108326","display_name":"David Nogu\u00e9ro","orcid":"https://orcid.org/0000-0001-6979-9330"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Solans Noguero","raw_affiliation_strings":["Telef\u00f3nica Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telef\u00f3nica Research","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003777693","display_name":"Anna Monreale","orcid":"https://orcid.org/0000-0001-8541-0284"},"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":"Anna Monreale","raw_affiliation_strings":["University of Pisa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049671186","display_name":"Nicolas Kourtellis","orcid":"https://orcid.org/0000-0002-5674-1698"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nicolas Kourtellis","raw_affiliation_strings":["Telef\u00f3nica Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telef\u00f3nica Research","institution_ids":["https://openalex.org/I4210134591"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4292,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93541748,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9886000156402588,"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":0.9886000156402588,"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":0.6569684743881226},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4201808571815491},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.41844579577445984},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3935759663581848},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.1702699363231659}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6569684743881226},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4201808571815491},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.41844579577445984},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3935759663581848},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.1702699363231659}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/faia240671","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240671","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:arpi.unipi.it:11568/1272695","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1272695","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:arpi.unipi.it:11568/1309608","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1309608","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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.3233/faia240671","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240671","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4298221930","https://openalex.org/W2390279801","https://openalex.org/W2777914285","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4378677776","https://openalex.org/W3176937389"],"abstract_inverted_index":{"Training":[0],"and":[1,13,34,59,115,131],"deploying":[2],"Machine":[3],"Learning":[4,80],"models":[5],"that":[6,103,122],"simultaneously":[7],"adhere":[8],"to":[9,139],"principles":[10],"of":[11,29,46,56,70,78,94,109,148],"fairness":[12,116],"privacy":[14,157],"while":[15,154],"ensuring":[16,43],"good":[17],"utility":[18,147],"poses":[19],"a":[20,99,142],"significant":[21],"challenge.":[22],"The":[23,54],"interplay":[24],"between":[25,112],"these":[26,47,91],"three":[27,92],"factors":[28,93],"trustworthiness":[30],"is":[31],"frequently":[32],"underestimated":[33],"remains":[35],"insufficiently":[36],"explored.":[37],"Consequently,":[38],"many":[39],"efforts":[40],"focus":[41],"on":[42],"only":[44],"two":[45],"factors,":[48],"neglecting":[49],"one":[50],"in":[51,62,75,86,106,117,145,150],"the":[52,57,60,65,68,76,83,107,110,135,146,151,160],"process.":[53],"decentralization":[55],"datasets":[58],"variations":[61],"distributions":[63],"among":[64],"clients":[66],"exacerbate":[67],"complexity":[69],"achieving":[71],"this":[72],"ethical":[73],"trade-off":[74],"context":[77],"Federated":[79],"(FL).":[81],"For":[82],"first":[84],"time":[85],"FL":[87,118,161],"literature,":[88],"we":[89],"address":[90],"trustworthiness.":[95],"We":[96,120],"introduce":[97],"PUFFLE,":[98],"high-level":[100],"parameterised":[101],"approach":[102],"can":[104,124],"help":[105],"exploration":[108],"balance":[111],"utility,":[113],"privacy,":[114],"scenarios.":[119],"prove":[121],"PUFFLE":[123],"be":[125],"effective":[126],"across":[127],"diverse":[128],"datasets,":[129],"models,":[130],"data":[132],"distributions,":[133],"reducing":[134],"model":[136],"unfairness":[137],"up":[138],"75%,":[140],"with":[141],"maximum":[143],"reduction":[144],"17%":[149],"worst-case":[152],"scenario,":[153],"maintaining":[155],"strict":[156],"guarantees":[158],"during":[159],"training.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
