{"id":"https://openalex.org/W4400020947","doi":"https://doi.org/10.56553/popets-2024-0083","title":"FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations","display_name":"FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations","publication_year":2024,"publication_date":"2024-06-25","ids":{"openalex":"https://openalex.org/W4400020947","doi":"https://doi.org/10.56553/popets-2024-0083"},"language":"en","primary_location":{"id":"doi:10.56553/popets-2024-0083","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2024-0083","pdf_url":"https://petsymposium.org/popets/2024/popets-2024-0083.pdf","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://petsymposium.org/popets/2024/popets-2024-0083.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050154821","display_name":"Hui\u2010Po Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128801","display_name":"Helmholtz Center for Information Security","ror":"https://ror.org/02njgxr09","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210128801"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hui-Po Wang","raw_affiliation_strings":["CISPA Helmholtz Center for Information Security"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISPA Helmholtz Center for Information Security","institution_ids":["https://openalex.org/I4210128801"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077770549","display_name":"Dingfan Chen","orcid":"https://orcid.org/0000-0001-7279-6624"},"institutions":[{"id":"https://openalex.org/I4210128801","display_name":"Helmholtz Center for Information Security","ror":"https://ror.org/02njgxr09","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210128801"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dingfan Chen","raw_affiliation_strings":["CISPA Helmholtz Center for Information Security"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISPA Helmholtz Center for Information Security","institution_ids":["https://openalex.org/I4210128801"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073096931","display_name":"Raouf Kerkouche","orcid":"https://orcid.org/0000-0002-1458-7805"},"institutions":[{"id":"https://openalex.org/I4210128801","display_name":"Helmholtz Center for Information Security","ror":"https://ror.org/02njgxr09","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210128801"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Raouf Kerkouche","raw_affiliation_strings":["CISPA Helmholtz Center for Information Security"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISPA Helmholtz Center for Information Security","institution_ids":["https://openalex.org/I4210128801"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003887059","display_name":"Mario Fritz","orcid":"https://orcid.org/0000-0001-8949-9896"},"institutions":[{"id":"https://openalex.org/I4210128801","display_name":"Helmholtz Center for Information Security","ror":"https://ror.org/02njgxr09","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210128801"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mario Fritz","raw_affiliation_strings":["CISPA Helmholtz Center for Information Security"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CISPA Helmholtz Center for Information Security","institution_ids":["https://openalex.org/I4210128801"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210128801"],"apc_list":null,"apc_paid":null,"fwci":0.98,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78971976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2024","issue":"3","first_page":"372","last_page":"390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T10237","display_name":"Cryptography and Data Security","score":0.9962999820709229,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9803000092506409,"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":0.585934579372406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5676761269569397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37564271688461304}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.585934579372406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5676761269569397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37564271688461304}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.56553/popets-2024-0083","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2024-0083","pdf_url":"https://petsymposium.org/popets/2024/popets-2024-0083.pdf","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/25443682","is_oa":true,"landing_page_url":"https://figshare.com/articles/preprint/FedLAP-DP_Federated_Learning_by_Sharing_Differentially_Private_Loss_Approximations/25443682","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/25443718","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/FedLAP-DP_Federated_Learning_by_Sharing_Differentially_Private_Loss_Approximations/25443718","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},{"id":"doi:10.60882/cispa.25443682.v1","is_oa":true,"landing_page_url":"https://doi.org/10.60882/cispa.25443682.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050916","display_name":"CISPA Helmholtz Center","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.60882/cispa.25443718.v1","is_oa":true,"landing_page_url":"https://doi.org/10.60882/cispa.25443718.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050916","display_name":"CISPA Helmholtz Center","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferenceProceeding"}],"best_oa_location":{"id":"doi:10.56553/popets-2024-0083","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2024-0083","pdf_url":"https://petsymposium.org/popets/2024/popets-2024-0083.pdf","source":{"id":"https://openalex.org/S4210183172","display_name":"Proceedings on Privacy Enhancing Technologies","issn_l":"2299-0984","issn":["2299-0984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings on Privacy Enhancing Technologies","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.49000000953674316,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G3562914802","display_name":"European Lighthouse on Secure and Safe AI","funder_award_id":"101070617","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400020947.pdf","grobid_xml":"https://content.openalex.org/works/W4400020947.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4298221930","https://openalex.org/W2390279801","https://openalex.org/W2777914285","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3013363440"],"abstract_inverted_index":{"Conventional":[0],"gradient-sharing":[1,134,180],"approaches":[2],"for":[3,53,191],"federated":[4],"learning":[5],"(FL),":[6],"such":[7],"as":[8,82,132],"FedAvg,":[9],"rely":[10],"on":[11,90],"aggregation":[12],"of":[13,63,74,150,187,199],"local":[14,38,67,79],"models":[15],"and":[16,39,100,143,163,182],"often":[17],"face":[18],"performance":[19,193],"degradation":[20],"under":[21],"differential":[22,116],"privacy":[23,117,122,130,142],"(DP)":[24],"mechanisms":[25],"or":[26],"data":[27],"heterogeneity,":[28],"which":[29],"can":[30],"be":[31],"attributed":[32],"to":[33,94,113,178],"the":[34,37,72,91,96,128,148,167,185],"inconsistency":[35],"between":[36,141],"global":[40,97,102],"objectives.":[41],"To":[42],"address":[43],"this":[44],"issue,":[45],"we":[46,108],"propose":[47],"FedLAP-DP,":[48],"a":[49,60,78,110,173,196],"novel":[50],"privacy-preserving":[51],"approach":[52,152,171],"FL.":[54,119],"Our":[55],"formulation":[56],"involves":[57],"clients":[58],"synthesizing":[59],"small":[61],"set":[62,198],"samples":[64,87],"that":[65,125],"approximate":[66],"loss":[68,83,98],"landscapes":[69],"by":[70,194],"simulating":[71],"gradients":[73],"real":[75],"images":[76],"within":[77],"region.":[80],"Acting":[81],"surrogates,":[84],"these":[85,106],"synthetic":[86,200],"are":[88],"aggregated":[89],"server":[92],"side":[93],"uncover":[95],"landscape":[99],"enable":[101],"optimization.":[103],"Building":[104],"upon":[105],"insights,":[107],"offer":[109],"new":[111],"perspective":[112],"enforce":[114],"record-level":[115],"in":[118,160],"A":[120],"formal":[121],"analysis":[123],"demonstrates":[124],"FedLAP-DP":[126],"incurs":[127],"same":[129],"costs":[131,190],"typical":[133,179],"schemes":[135],"while":[136],"achieving":[137],"an":[138],"improved":[139],"trade-off":[140],"utility.":[144],"Extensive":[145],"experiments":[146],"validate":[147],"superiority":[149],"our":[151,170],"across":[153],"various":[154],"datasets":[155],"with":[156],"highly":[157],"skewed":[158],"distributions":[159],"both":[161],"DP":[162],"non-DP":[164],"settings.":[165],"Beyond":[166],"promising":[168],"performance,":[169],"presents":[172],"faster":[174],"convergence":[175],"speed":[176],"compared":[177],"methods":[181],"opens":[183],"up":[184],"possibility":[186],"trading":[188],"communication":[189],"better":[192],"sending":[195],"larger":[197],"images.":[201],"The":[202],"source":[203],"is":[204],"available":[205],"at":[206],"https://github.com/a514514772/FedLAP-DP.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}