{"id":"https://openalex.org/W4404213248","doi":"https://doi.org/10.56553/popets-2025-0010","title":"Communication Efficient Secure and Private Multi-Party Deep Learning","display_name":"Communication Efficient Secure and Private Multi-Party Deep Learning","publication_year":2024,"publication_date":"2024-11-10","ids":{"openalex":"https://openalex.org/W4404213248","doi":"https://doi.org/10.56553/popets-2025-0010"},"language":"en","primary_location":{"id":"doi:10.56553/popets-2025-0010","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2025-0010","pdf_url":"https://petsymposium.org/popets/2025/popets-2025-0010.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"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://petsymposium.org/popets/2025/popets-2025-0010.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015234341","display_name":"Sankha Das","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sankha Das","raw_affiliation_strings":["Microsoft Research India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052162709","display_name":"Sayak Ray Chowdhury","orcid":"https://orcid.org/0009-0000-6528-2457"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sayak Ray Chowdhury","raw_affiliation_strings":["Microsoft Research India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077806978","display_name":"Nishanth Chandran","orcid":"https://orcid.org/0000-0002-8528-9768"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nishanth Chandran","raw_affiliation_strings":["Microsoft Research India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101989215","display_name":"Divya Gupta","orcid":"https://orcid.org/0000-0003-1343-2219"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Divya Gupta","raw_affiliation_strings":["Microsoft Research India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058727227","display_name":"Satya Lokam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satya Lokam","raw_affiliation_strings":["Microsoft Research India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054300851","display_name":"Rahul Sharma","orcid":"https://orcid.org/0000-0002-1177-1156"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Sharma","raw_affiliation_strings":["Microsoft Research India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015234341"],"corresponding_institution_ids":["https://openalex.org/I4210124949"],"apc_list":null,"apc_paid":null,"fwci":1.5734,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86320599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"2025","issue":"1","first_page":"169","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9096999764442444,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9096999764442444,"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/computer-science","display_name":"Computer science","score":0.5097967982292175},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3836216926574707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35485631227493286},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3211507797241211}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5097967982292175},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3836216926574707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35485631227493286},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3211507797241211}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.56553/popets-2025-0010","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2025-0010","pdf_url":"https://petsymposium.org/popets/2025/popets-2025-0010.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"}],"best_oa_location":{"id":"doi:10.56553/popets-2025-0010","is_oa":true,"landing_page_url":"https://doi.org/10.56553/popets-2025-0010","pdf_url":"https://petsymposium.org/popets/2025/popets-2025-0010.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":[{"display_name":"Peace, Justice and strong institutions","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404213248.pdf","grobid_xml":"https://content.openalex.org/works/W4404213248.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Distributed":[0],"training":[1,30,58,69,96],"that":[2],"enables":[3],"multiple":[4,103],"parties":[5,56],"to":[6,19,50,132],"jointly":[7,95],"train":[8],"a":[9,16,97],"model":[10,67,98],"on":[11,99,129],"their":[12],"respective":[13],"datasets":[14],"is":[15,112],"promising":[17],"approach":[18,37],"address":[20],"the":[21,66,109,144],"challenges":[22],"of":[23,26,62,146],"large":[24],"volumes":[25],"diverse":[27],"data":[28,53,100],"for":[29,94],"modern":[31],"machine":[32],"learning":[33],"models.":[34],"However,":[35],"this":[36,75],"immedi-":[38],"ately":[39],"raises":[40],"security":[41],"and":[42,59,116,127,139],"privacy":[43],"concerns;":[44],"both":[45,80],"about":[46],"each":[47],"party":[48],"wishing":[49],"protect":[51],"its":[52],"from":[54,65,135],"other":[55],"during":[57],"preventing":[60],"leakage":[61],"private":[63],"information":[64],"after":[68],"through":[70],"various":[71],"inference":[72],"attacks.":[73],"In":[74],"paper,":[76],"we":[77],"ad-":[78],"dress":[79],"these":[81],"concerns":[82],"simultaneously":[83],"by":[84],"designing":[85],"efficient":[86],"Differentially":[87],"Private,":[88],"secure":[89,136],"Multiparty":[90],"Computation":[91],"(DP-MPC)":[92],"protocols":[93],"distributed":[101],"among":[102],"parties.":[104],"Our":[105],"DP-MPC":[106],"protocol":[107],"in":[108,143],"two-party":[110],"setting":[111],"56-794\u00d7":[113],"more":[114],"communication-efficient":[115],"16-182\u00d7":[117],"faster":[118],"than":[119],"previous":[120,130],"such":[121],"protocols.":[122],"Conceptually,":[123],"our":[124],"work":[125],"simplifies":[126],"improves":[128],"attempts":[131],"combine":[133],"techniques":[134],"multiparty":[137],"computation":[138],"differential":[140],"privacy,":[141],"especially":[142],"context":[145],"ML":[147],"training.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}