{"id":"https://openalex.org/W2723552999","doi":"https://doi.org/10.1109/icassp.2017.7952998","title":"Fast and privacy preserving distributed low-rank regression","display_name":"Fast and privacy preserving distributed low-rank regression","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2723552999","doi":"https://doi.org/10.1109/icassp.2017.7952998","mag":"2723552999"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055166851","display_name":"Hoi-To Wai","orcid":"https://orcid.org/0000-0003-4796-4483"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hoi-To Wai","raw_affiliation_strings":["School of ECEE, Arizona State Univ, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECEE, Arizona State Univ, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029881017","display_name":"Anna Scaglione","orcid":"https://orcid.org/0000-0002-8892-3680"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Scaglione","raw_affiliation_strings":["School of ECEE, Arizona State Univ, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of ECEE, Arizona State Univ, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113813964","display_name":"Jean Lafond","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean Lafond","raw_affiliation_strings":["CNRS LTCI, Telecom ParisTech, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS LTCI, Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590","https://openalex.org/I4210165912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101398712","display_name":"\u00c9ric Moulines","orcid":"https://orcid.org/0000-0002-2058-0693"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Moulines","raw_affiliation_strings":["CMAP, Ecole Polytechnique, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMAP, Ecole Polytechnique, Palaiseau, France","institution_ids":["https://openalex.org/I142476485"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.752,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87573306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4451","last_page":"4455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9909999966621399,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7067716121673584},{"id":"https://openalex.org/keywords/gossip","display_name":"Gossip","score":0.686814546585083},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5990023612976074},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5844678282737732},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.5833246111869812},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.5779478549957275},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5132730007171631},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.5087347626686096},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5057425498962402},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.46971195936203003},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4585234522819519},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4273979067802429},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.425870805978775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41901031136512756},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4172058701515198},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3835213780403137},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.1938413381576538},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17905157804489136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067716121673584},{"id":"https://openalex.org/C62989814","wikidata":"https://www.wikidata.org/wiki/Q854648","display_name":"Gossip","level":2,"score":0.686814546585083},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5990023612976074},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5844678282737732},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.5833246111869812},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.5779478549957275},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5132730007171631},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.5087347626686096},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5057425498962402},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.46971195936203003},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4585234522819519},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4273979067802429},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.425870805978775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41901031136512756},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4172058701515198},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3835213780403137},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.1938413381576538},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17905157804489136},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2017.7952998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01668252v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-01668252","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, New Orleans, United States","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W905619","https://openalex.org/W1547358136","https://openalex.org/W1574851760","https://openalex.org/W1627780903","https://openalex.org/W1884359871","https://openalex.org/W2074796812","https://openalex.org/W2107438106","https://openalex.org/W2114791779","https://openalex.org/W2115554270","https://openalex.org/W2120286056","https://openalex.org/W2129122308","https://openalex.org/W2129131372","https://openalex.org/W2130613472","https://openalex.org/W2136885855","https://openalex.org/W2142535750","https://openalex.org/W2148087609","https://openalex.org/W2155356457","https://openalex.org/W2166581276","https://openalex.org/W2168494960","https://openalex.org/W2219888463","https://openalex.org/W2266148951","https://openalex.org/W2557168633","https://openalex.org/W2559981646","https://openalex.org/W2566608758","https://openalex.org/W2611328865","https://openalex.org/W2952215077","https://openalex.org/W2962789083","https://openalex.org/W3101665129","https://openalex.org/W3104550706","https://openalex.org/W4294166991","https://openalex.org/W6600043445","https://openalex.org/W6634474516","https://openalex.org/W6639545955","https://openalex.org/W6676105031","https://openalex.org/W6680196509","https://openalex.org/W6684710191","https://openalex.org/W6685973902","https://openalex.org/W6730438046"],"related_works":["https://openalex.org/W4221157149","https://openalex.org/W4283122425","https://openalex.org/W2057590040","https://openalex.org/W1991825408","https://openalex.org/W3135513863","https://openalex.org/W1507830821","https://openalex.org/W2969889343","https://openalex.org/W4306936641","https://openalex.org/W1621084367","https://openalex.org/W2408897693"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,60,91],"fast":[4,45,100],"and":[5,107,121],"privacy":[6,77],"preserving":[7],"distributed":[8,72],"algorithm":[9,58,102],"for":[10,104],"handling":[11],"low-rank":[12,117],"regression":[13],"problems":[14],"with":[15],"nuclear":[16],"norm":[17],"constraint.":[18],"Traditional":[19],"projected":[20],"gradient":[21],"algorithms":[22],"have":[23],"high":[24],"computation":[25,73],"costs":[26],"due":[27],"to":[28,36,67,125],"their":[29],"projection":[30,93],"steps":[31],"when":[32],"they":[33],"are":[34],"used":[35],"solve":[37],"these":[38],"problems.":[39],"Our":[40],"gossip-based":[41],"algorithm,":[42,47],"called":[43],"the":[44,57,69,81,86,99,116],"DeFW":[46,101],"overcomes":[48],"this":[49],"issue":[50],"since":[51],"it":[52],"is":[53,78],"projection-free.":[54],"In":[55],"particular,":[56],"incorporates":[59],"carefully":[61],"designed":[62],"decentralized":[63],"power":[64],"method":[65],"step":[66],"reduce":[68],"complexity":[70],"by":[71],"over":[74],"network.":[75],"Meanwhile,":[76],"preserved":[79],"as":[80],"agents":[82],"do":[83],"not":[84],"exchange":[85],"private":[87],"data,":[88],"but":[89],"only":[90],"random":[92],"of":[94],"them.":[95],"We":[96],"show":[97],"that":[98],"converges":[103],"both":[105],"convex":[106],"non-convex":[108],"losses.":[109],"As":[110],"an":[111],"application":[112],"example,":[113],"we":[114],"consider":[115],"matrix":[118],"completion":[119],"problem":[120],"provide":[122],"numerical":[123],"results":[124],"support":[126],"our":[127],"findings.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}