{"id":"https://openalex.org/W7126247278","doi":"https://doi.org/10.1109/raid67961.2025.00017","title":"PRIV-HFL: Privacy-Preserving and Robust Federated Learning for Heterogeneous Clients Against Data Reconstruction Attacks","display_name":"PRIV-HFL: Privacy-Preserving and Robust Federated Learning for Heterogeneous Clients Against Data Reconstruction Attacks","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7126247278","doi":"https://doi.org/10.1109/raid67961.2025.00017"},"language":null,"primary_location":{"id":"doi:10.1109/raid67961.2025.00017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/raid67961.2025.00017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Symposium on Research in Attacks, Intrusions and Defenses (RAID)","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/A5124431346","display_name":"Mohammadreza Najafi","orcid":null},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mohammadreza Najafi","raw_affiliation_strings":["La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012892246","display_name":"Hooman Alavizadeh","orcid":"https://orcid.org/0000-0002-0033-6706"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hooman Alavizadeh","raw_affiliation_strings":["La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010636899","display_name":"Ahmad Salehi Shahraki","orcid":"https://orcid.org/0000-0003-2115-6269"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ahmad Salehi Shahraki","raw_affiliation_strings":["La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008691045","display_name":"A. S. M. Kayes","orcid":"https://orcid.org/0000-0002-2421-2214"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A.S. M Kayes","raw_affiliation_strings":["La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124435007","display_name":"Wenny Rahayu","orcid":null},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenny Rahayu","raw_affiliation_strings":["La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"La Trobe University,Department of Computer Science & Information Technology,Melbourne,Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5124431346"],"corresponding_institution_ids":["https://openalex.org/I196829312"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83053889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"728","last_page":"740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9484000205993652,"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":0.9484000205993652,"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/T11719","display_name":"Data Quality and Management","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.004000000189989805,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8188999891281128},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6636000275611877},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6144999861717224},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.519599974155426},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4681999981403351},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4357999861240387},{"id":"https://openalex.org/keywords/data-sharing","display_name":"Data sharing","score":0.4300000071525574},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.3192000091075897}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8188999891281128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.808899998664856},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6636000275611877},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6144999861717224},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.519599974155426},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4681999981403351},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.4300000071525574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4244000017642975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4018000066280365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33640000224113464},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29269999265670776},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2897000014781952},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.28130000829696655},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C2776604539","wikidata":"https://www.wikidata.org/wiki/Q6423395","display_name":"Knowledge sharing","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/raid67961.2025.00017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/raid67961.2025.00017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Symposium on Research in Attacks, Intrusions and Defenses (RAID)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2473418344","https://openalex.org/W2478708596","https://openalex.org/W2591882872","https://openalex.org/W2932097000","https://openalex.org/W2998166376","https://openalex.org/W3016632787","https://openalex.org/W3027090184","https://openalex.org/W3096692244","https://openalex.org/W3112632687","https://openalex.org/W3118868694","https://openalex.org/W3188554269","https://openalex.org/W3197708996","https://openalex.org/W3200400919","https://openalex.org/W3215194618","https://openalex.org/W4226101686","https://openalex.org/W4244888682","https://openalex.org/W4288057780","https://openalex.org/W4312722286","https://openalex.org/W4322730952","https://openalex.org/W4385062808","https://openalex.org/W4386232222","https://openalex.org/W4389118479","https://openalex.org/W4399039631","https://openalex.org/W4399477604","https://openalex.org/W4400076000","https://openalex.org/W4401163800","https://openalex.org/W4403123063","https://openalex.org/W4406302454"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"is":[3],"a":[4,16,132,170],"machine":[5],"learning":[6],"paradigm":[7],"that":[8,37,201],"allows":[9],"multiple":[10],"local":[11,53,145],"clients":[12],"to":[13,106,135,156,182],"collaboratively":[14],"train":[15],"global":[17,96],"model":[18,22,50,72,134,146,174],"by":[19,48,164,180],"sharing":[20],"their":[21],"parameters":[23,51],"instead":[24],"of":[25,69,77,112],"private":[26,46],"data,":[27],"thereby":[28],"mitigating":[29],"privacy":[30,118,206],"leakage.":[31],"However,":[32],"recent":[33],"studies":[34],"have":[35],"shown":[36],"gradient-based":[38],"Data":[39],"Reconstruction":[40],"Attack":[41],"(DRA)":[42],"can":[43],"still":[44],"expose":[45],"information":[47],"exploiting":[49],"from":[52],"clients.":[54,141],"Existing":[55],"privacy-preserving":[56],"FL":[57,91,165],"strategies":[58],"provide":[59],"some":[60],"defense":[61],"against":[62,213],"these":[63,90],"attacks,":[64],"but":[65],"at":[66],"the":[67,75,108,126,152,159,208],"cost":[68],"significantly":[70],"reduced":[71],"accuracy.":[73],"Moreover,":[74],"issue":[76],"client":[78,117,193,204],"heterogeneity,":[79],"particularly":[80],"in":[81,94,173,191],"Non-Identical":[82],"and":[83,100,116,130,187],"Independent":[84],"Distributions":[85],"(Non-IID)":[86],"clients,":[87],"further":[88],"exacerbates":[89],"methods,":[92],"resulting":[93],"drifted":[95],"models,":[97],"slower":[98],"convergence,":[99],"decreased":[101],"performance.":[102],"This":[103],"study":[104,168],"aims":[105,155],"address":[107,158],"two":[109],"main":[110],"challenges":[111,161],"FL:":[113],"Non-IID":[114,192],"data":[115,205],"through":[119,148],"DRA.":[120,214],"To":[121],"this":[122],"end,":[123],"it":[124,179],"leverages":[125],"lagrangian":[127],"duality":[128],"approach":[129],"incorporates":[131],"generator":[133],"enable":[136],"Knowledge":[137],"Distillation":[138],"(KD)":[139],"among":[140],"By":[142],"facilitating":[143],"improved":[144],"performance":[147],"inter-client":[149],"knowledge":[150],"transfer,":[151],"proposed":[153],"method":[154],"simultaneously":[157],"practical":[160],"commonly":[162],"encountered":[163],"systems.":[166],"Our":[167],"demonstrates":[169],"remarkable":[171],"improvement":[172],"accuracy,":[175],"with":[176],"KD":[177],"boosting":[178],"up":[181],"$15":[183],"\\%$":[184],"on":[185],"CIFAR-10":[186],"MNIST":[188],"classification":[189],"tasks":[190],"settings.":[194],"Furthermore,":[195],"we":[196],"propose":[197],"an":[198],"aggregation":[199],"algorithm":[200],"inherently":[202],"preserves":[203],"during":[207],"training":[209],"phase,":[210],"offering":[211],"resilience":[212]},"counts_by_year":[],"updated_date":"2026-05-01T08:36:08.643496","created_date":"2026-02-01T00:00:00"}