{"id":"https://openalex.org/W4386066375","doi":"https://doi.org/10.1109/isit54713.2023.10206958","title":"Private Set Union Based Approach to Enable Private Federated Submodel Learning","display_name":"Private Set Union Based Approach to Enable Private Federated Submodel Learning","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386066375","doi":"https://doi.org/10.1109/isit54713.2023.10206958"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206958","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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/A5036552819","display_name":"Zhusheng Wang","orcid":"https://orcid.org/0000-0002-8086-6036"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhusheng Wang","raw_affiliation_strings":["University of Maryland,Department of Electrical and Computer Engineering,College Park,MD,20742"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Department of Electrical and Computer Engineering,College Park,MD,20742","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021132487","display_name":"\u015eennur Uluku\u015f","orcid":"https://orcid.org/0000-0002-8219-8190"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sennur Ulukus","raw_affiliation_strings":["University of Maryland,Department of Electrical and Computer Engineering,College Park,MD,20742"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Department of Electrical and Computer Engineering,College Park,MD,20742","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036552819"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09829067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"725","last_page":"730"},"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":0.9980000257492065,"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":0.9772999882698059,"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/randomness","display_name":"Randomness","score":0.8977237939834595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299641966819763},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6501636505126953},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5706157088279724},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.5449194312095642},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5406896471977234},{"id":"https://openalex.org/keywords/client-side","display_name":"Client-side","score":0.4832533001899719},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.44508713483810425},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36702942848205566},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22785654664039612},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.179935485124588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13083535432815552},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0776509940624237},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07254397869110107}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.8977237939834595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299641966819763},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6501636505126953},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5706157088279724},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.5449194312095642},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5406896471977234},{"id":"https://openalex.org/C202477664","wikidata":"https://www.wikidata.org/wiki/Q1352449","display_name":"Client-side","level":2,"score":0.4832533001899719},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.44508713483810425},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36702942848205566},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22785654664039612},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.179935485124588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13083535432815552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0776509940624237},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07254397869110107},{"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/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206958","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isit54713.2023.10206958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2073346043","https://openalex.org/W2593599278","https://openalex.org/W2599749253","https://openalex.org/W2767079719","https://openalex.org/W2768218911","https://openalex.org/W2808769206","https://openalex.org/W2888732914","https://openalex.org/W2898111259","https://openalex.org/W2912213068","https://openalex.org/W2919422837","https://openalex.org/W2951483008","https://openalex.org/W2961382438","https://openalex.org/W2962692592","https://openalex.org/W2963246398","https://openalex.org/W2963360430","https://openalex.org/W2963778357","https://openalex.org/W2963898134","https://openalex.org/W3010011586","https://openalex.org/W3013310637","https://openalex.org/W3047955307","https://openalex.org/W3080270214","https://openalex.org/W3084711314","https://openalex.org/W3088123628","https://openalex.org/W3088731039","https://openalex.org/W3093360177","https://openalex.org/W3096328345","https://openalex.org/W3121174741","https://openalex.org/W3124562976","https://openalex.org/W3126623139","https://openalex.org/W3136902772","https://openalex.org/W3171091364","https://openalex.org/W3208270118","https://openalex.org/W3210888078","https://openalex.org/W4205173135","https://openalex.org/W4289713075","https://openalex.org/W4292084264","https://openalex.org/W4298356561","https://openalex.org/W4310902932","https://openalex.org/W4312229871","https://openalex.org/W4383112472","https://openalex.org/W4389665995","https://openalex.org/W4390285061","https://openalex.org/W4400230359","https://openalex.org/W6773667718","https://openalex.org/W6783183097","https://openalex.org/W6810351777","https://openalex.org/W6838504729","https://openalex.org/W6848733016"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W1982811510","https://openalex.org/W4391100477","https://openalex.org/W2402189625","https://openalex.org/W4327779705","https://openalex.org/W4310560702","https://openalex.org/W1513698804","https://openalex.org/W2982008584"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,18,47,55,61,63,76,83,100,103,109,118,121,157,169,176,181,184,191,195,206,211,215,219,222,230,238,247,251],"federated":[3],"submodel":[4],"learning":[5],"(FSL)":[6],"problem":[7],"and":[8,90,105,133,146,265,274],"propose":[9],"an":[10],"approach":[11,25],"where":[12,168],"clients":[13,182,207,228,239],"are":[14],"able":[15],"to":[16,82,108,189,201,225,245,250],"update":[17,229],"central":[19],"model":[20,101],"information":[21,41,130],"theoretically":[22],"privately.":[23],"Our":[24,136,256],"is":[26,34,138,266],"based":[27,36,232],"on":[28,37,233],"private":[29,40,85,129,258],"set":[30,223],"union":[31,196,224],"(PSU),":[32],"which":[33,68,71],"further":[35,53],"multi-message":[38],"symmetric":[39,128],"retrieval":[42,131],"(MM-SPIR).":[43],"With":[44],"our":[45,92,115],"scheme,":[46],"server":[48,64,192],"does":[49,65,94],"not":[50,66,95],"learn":[51],"anything":[52,74],"than":[54],"subset":[56],"of":[57,88,99,113,120,144,150,197,199,218,243],"submodels":[58,145,200,220,231],"updated":[59,70,203],"by":[60,205],"clients:":[62],"know":[67],"client":[69,78,270,272],"submodel(s),":[72],"or":[73],"about":[75],"local":[77,235],"data.":[79,236],"In":[80],"comparison":[81,107],"state-of-the-art":[84],"FSL":[86,259],"schemes":[87],"Jia-Jafar":[89],"Vithana-Ulukus,":[91],"scheme":[93,112,116,260],"require":[96],"noisy":[97],"storage":[98,143],"at":[102,156,175],"databases;":[104],"in":[106,153,221],"secure":[110],"aggregation":[111],"Zhao-Sun,":[114],"incorporates":[117],"creation":[119],"required":[122],"client-side":[123,177,186],"common":[124,151,164,173,187],"randomness":[125,152,165,174,188],"via":[126],"random":[127],"(RSPIR)":[132],"one-time":[134],"pads.":[135],"system":[137],"initialized":[139],"with":[140,162],"a":[141,147,163,241],"replicated":[142],"sufficient":[148],"amount":[149],"two":[154,170,212],"databases":[155,171,213,252],"server-side.":[158],"The":[159,227],"protocol":[160],"starts":[161],"generation":[166],"(CRG)":[167],"establish":[172],"(FSL-CRG":[178],"phase).":[179,209,255],"Next,":[180],"utilize":[183],"established":[185],"have":[190],"determine":[193],"privately":[194,253],"indices":[198],"be":[202],"collectively":[204],"(FSL-PSU":[208],"Then,":[210],"broadcast":[214],"current":[216],"versions":[217],"clients.":[226],"their":[234],"Finally,":[237],"use":[240],"variation":[242],"FSL-PSU":[244],"write":[246],"updates":[248],"back":[249],"(FSL-write":[254],"proposed":[257],"achieves":[261],"low":[262],"communication":[263],"cost,":[264],"also":[267],"robust":[268],"against":[269],"dropouts,":[271],"late-arrivals,":[273],"database":[275],"drop-outs.":[276]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}