{"id":"https://openalex.org/W4308869302","doi":"https://doi.org/10.3390/jcp2040044","title":"Differentially Private Block Coordinate Descent for Linear Regression on Vertically Partitioned Data","display_name":"Differentially Private Block Coordinate Descent for Linear Regression on Vertically Partitioned Data","publication_year":2022,"publication_date":"2022-11-09","ids":{"openalex":"https://openalex.org/W4308869302","doi":"https://doi.org/10.3390/jcp2040044"},"language":"en","primary_location":{"id":"doi:10.3390/jcp2040044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jcp2040044","pdf_url":"https://www.mdpi.com/2624-800X/2/4/44/pdf?version=1667995626","source":{"id":"https://openalex.org/S4210232532","display_name":"Journal of Cybersecurity and Privacy","issn_l":"2624-800X","issn":["2624-800X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Journal of Cybersecurity and Privacy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2624-800X/2/4/44/pdf?version=1667995626","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075348447","display_name":"Jins de Jong","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jins de Jong","raw_affiliation_strings":["TNO, Unit ICT, Eemsgolaan 3, 9727DW Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TNO, Unit ICT, Eemsgolaan 3, 9727DW Groningen, The Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082927171","display_name":"Bart Kamphorst","orcid":"https://orcid.org/0000-0002-9490-5841"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bart Kamphorst","raw_affiliation_strings":["TNO, Unit ICT, Eemsgolaan 3, 9727DW Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TNO, Unit ICT, Eemsgolaan 3, 9727DW Groningen, The Netherlands","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027692630","display_name":"Shannon Kroes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shannon Kroes","raw_affiliation_strings":["TNO, Unit ICT, Eemsgolaan 3, 9727DW Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TNO, Unit ICT, Eemsgolaan 3, 9727DW Groningen, The Netherlands","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075348447"],"corresponding_institution_ids":[],"apc_list":{"value":1000,"currency":"CHF","value_usd":1082},"apc_paid":{"value":1000,"currency":"CHF","value_usd":1082},"fwci":0.1387,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5597147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"2","issue":"4","first_page":"862","last_page":"881"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9939000010490417,"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":0.9896000027656555,"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/coordinate-descent","display_name":"Coordinate descent","score":0.8836376667022705},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7149767875671387},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6695665717124939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62921541929245},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5674462914466858},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5563054084777832},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5410858392715454},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5044530630111694},{"id":"https://openalex.org/keywords/descent","display_name":"Descent (aeronautics)","score":0.4840787947177887},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.45760369300842285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32093873620033264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2639439105987549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21349677443504333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1816725730895996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11007711291313171},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08072617650032043}],"concepts":[{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.8836376667022705},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7149767875671387},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6695665717124939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62921541929245},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5674462914466858},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5563054084777832},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5410858392715454},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5044530630111694},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.4840787947177887},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.45760369300842285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32093873620033264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2639439105987549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21349677443504333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1816725730895996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11007711291313171},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08072617650032043},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/jcp2040044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jcp2040044","pdf_url":"https://www.mdpi.com/2624-800X/2/4/44/pdf?version=1667995626","source":{"id":"https://openalex.org/S4210232532","display_name":"Journal of Cybersecurity and Privacy","issn_l":"2624-800X","issn":["2624-800X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Journal of Cybersecurity and Privacy","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:46b1b90af222476d99bc0514c29f579a","is_oa":true,"landing_page_url":"https://doaj.org/article/46b1b90af222476d99bc0514c29f579a","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cybersecurity and Privacy, Vol 2, Iss 4, Pp 862-881 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jcp2040044","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jcp2040044","pdf_url":"https://www.mdpi.com/2624-800X/2/4/44/pdf?version=1667995626","source":{"id":"https://openalex.org/S4210232532","display_name":"Journal of Cybersecurity and Privacy","issn_l":"2624-800X","issn":["2624-800X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Journal of Cybersecurity and Privacy","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4308869302.pdf","grobid_xml":"https://content.openalex.org/works/W4308869302.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2027595342","https://openalex.org/W2096870293","https://openalex.org/W2101771965","https://openalex.org/W2167372639","https://openalex.org/W2182267394","https://openalex.org/W2582825155","https://openalex.org/W2626769593","https://openalex.org/W2750753921","https://openalex.org/W2791553724","https://openalex.org/W2898963020","https://openalex.org/W2945658460","https://openalex.org/W2950943617","https://openalex.org/W2971757441","https://openalex.org/W3014541599","https://openalex.org/W3016632787","https://openalex.org/W3034598017","https://openalex.org/W3046565236","https://openalex.org/W3129922029","https://openalex.org/W3182023146","https://openalex.org/W3200165808","https://openalex.org/W4226083947","https://openalex.org/W4229001186","https://openalex.org/W4285209087","https://openalex.org/W4312646383","https://openalex.org/W6639246211","https://openalex.org/W6676639149","https://openalex.org/W6677855611","https://openalex.org/W6764838729","https://openalex.org/W6779927876"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2486267010","https://openalex.org/W2604501336","https://openalex.org/W2558166297","https://openalex.org/W2734500670","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W2484651380","https://openalex.org/W2015288657"],"abstract_inverted_index":{"We":[0,82],"present":[1],"a":[2,24,34,39,42],"differentially":[3,49],"private":[4,50],"extension":[5],"of":[6,14,67],"the":[7,48,55,68,85],"block":[8,70],"coordinate":[9,71],"descent":[10,72],"algorithm":[11,18,73,86],"by":[12],"means":[13],"objective":[15],"perturbation.":[16],"The":[17,60],"iteratively":[19],"performs":[20],"linear":[21],"regression":[22,51],"in":[23],"federated":[25],"setting":[26],"on":[27,74],"vertically":[28],"partitioned":[29],"data.":[30,81],"In":[31],"addition":[32],"to":[33,91],"privacy":[35,97],"guarantee,":[36],"we":[37],"derive":[38],"utility":[40],"guarantee;":[41],"tolerance":[43],"parameter":[44],"indicates":[45],"how":[46],"much":[47],"may":[52],"deviate":[53],"from":[54],"analysis":[56],"without":[57],"differential":[58],"privacy.":[59],"algorithm\u2019s":[61],"performance":[62],"is":[63,87],"compared":[64],"with":[65,95,100],"that":[66,84],"standard":[69],"both":[75],"artificial":[76],"test":[77],"data":[78],"and":[79,89],"real-world":[80],"find":[83],"fast":[88],"able":[90],"generate":[92],"practical":[93],"predictions":[94],"single-digit":[96],"budgets,":[98],"albeit":[99],"some":[101],"accuracy":[102],"loss.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2022-11-18T00:00:00"}