{"id":"https://openalex.org/W2991450718","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049066","title":"Federated Learning with Autotuned Communication-Efficient Secure Aggregation","display_name":"Federated Learning with Autotuned Communication-Efficient Secure Aggregation","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2991450718","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049066","mag":"2991450718"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9049066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.00131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011571548","display_name":"Keith Bonawitz","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Keith Bonawitz","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015365818","display_name":"Fariborz Salehi","orcid":null},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fariborz Salehi","raw_affiliation_strings":["California Institute of Technology"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048916516","display_name":"Jakub Kone\u010dn\u00fd","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jakub Kone\u010dn\u00fd","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106716979","display_name":"Brendan McMahan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brendan McMahan","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078160983","display_name":"Marco Gruteser","orcid":"https://orcid.org/0000-0002-7424-4951"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Gruteser","raw_affiliation_strings":["Google"],"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011571548"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":1.8806,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89663454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1222","last_page":"1226"},"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":0.9975000023841858,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8004087805747986},{"id":"https://openalex.org/keywords/secure-communication","display_name":"Secure communication","score":0.5876438617706299},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5545604228973389},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5497170686721802},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.548444390296936},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.504813551902771},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.5034496188163757},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.47638028860092163},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43449950218200684},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3291120231151581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28113919496536255},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.12840011715888977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8004087805747986},{"id":"https://openalex.org/C510870077","wikidata":"https://www.wikidata.org/wiki/Q7444868","display_name":"Secure communication","level":3,"score":0.5876438617706299},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5545604228973389},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5497170686721802},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.548444390296936},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.504813551902771},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.5034496188163757},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.47638028860092163},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43449950218200684},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3291120231151581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28113919496536255},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.12840011715888977},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9049066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1912.00131","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.00131","pdf_url":"https://arxiv.org/pdf/1912.00131","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2991450718","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1912.00131","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:authors.library.caltech.edu:102275","is_oa":true,"landing_page_url":"https://authors.library.caltech.edu/102275/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402161","display_name":"CaltechAUTHORS (California Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122411786","host_organization_name":"California Institute of Technology","host_organization_lineage":["https://openalex.org/I122411786"],"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":"","raw_type":"Book Section"},{"id":"doi:10.48550/arxiv.1912.00131","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1912.00131","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.00131","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.00131","pdf_url":"https://arxiv.org/pdf/1912.00131","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W401986301","https://openalex.org/W2123045220","https://openalex.org/W2163458985","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2547352193","https://openalex.org/W2767079719","https://openalex.org/W2787248994","https://openalex.org/W2905444686","https://openalex.org/W3118608800","https://openalex.org/W4250954493","https://openalex.org/W6728757088","https://openalex.org/W6728975057","https://openalex.org/W6757093123","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3103802018","https://openalex.org/W2767079719","https://openalex.org/W2995022099","https://openalex.org/W2541884796","https://openalex.org/W2912592113","https://openalex.org/W2904190483","https://openalex.org/W2535838896","https://openalex.org/W3200971224","https://openalex.org/W2987738051","https://openalex.org/W2998045710","https://openalex.org/W2946193510","https://openalex.org/W2913570153","https://openalex.org/W2913243576","https://openalex.org/W2907337720","https://openalex.org/W2900120080","https://openalex.org/W2283463896","https://openalex.org/W3205701848","https://openalex.org/W3174087000","https://openalex.org/W3198560032","https://openalex.org/W3093711096"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"enables":[2,74],"mobile":[3],"devices":[4],"to":[5,25,32,56,77,116],"collaboratively":[6],"learn":[7,78],"a":[8,19,84,136],"shared":[9],"inference":[10],"model":[11,54,89],"while":[12],"keeping":[13],"all":[14],"the":[15,23,30,34,37,63,69,75,107,111,122,125,155,163],"training":[16],"data":[17,35],"on":[18,41,144],"user's":[20],"device,":[21],"decoupling":[22],"ability":[24],"do":[26],"machine":[27],"learning":[28,43],"from":[29],"need":[31],"store":[33],"in":[36,97,121,167],"cloud.":[38],"Existing":[39],"work":[40],"federated":[42],"with":[44],"limited":[45],"communication":[46,64,118],"demonstrates":[47],"how":[48],"random":[49,131,148],"rotation":[50,149],"can":[51],"enable":[52],"users'":[53],"updates":[55],"be":[57],"quantized":[58,127],"much":[59],"more":[60],"efficiently,":[61],"reducing":[62],"cost":[65],"between":[66],"users":[67],"and":[68,150,162,175],"server.":[70],"Meanwhile,":[71],"secure":[72,114,141,151,168],"aggregation":[73,115,152],"server":[76],"an":[79],"aggregate":[80],"of":[81,87,106,109,124,147,158],"at":[82],"least":[83],"threshold":[85],"number":[86],"device's":[88,95],"contributions":[90],"without":[91],"observing":[92],"any":[93],"individual":[94],"contribution":[96],"unaggregated":[98],"form.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103],"highlight":[104],"some":[105],"challenges":[108],"setting":[110],"parameters":[112],"for":[113,138],"achieve":[117],"efficiency,":[119],"especially":[120],"context":[123],"aggressively":[126],"inputs":[128],"enabled":[129],"by":[130],"rotation.":[132],"We":[133,170],"then":[134],"develop":[135],"recipe":[137],"auto-tuning":[139],"communication-efficient":[140],"aggregation,":[142],"based":[143],"specific":[145],"properties":[146],"-":[153],"namely,":[154],"predictable":[156],"distribution":[157],"vector":[159],"entries":[160],"post-rotation":[161],"modular":[164],"wrapping":[165],"inherent":[166],"aggregation.":[169],"present":[171],"both":[172],"theoretical":[173],"results":[174],"initial":[176],"experiments.":[177]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}