{"id":"https://openalex.org/W3174540410","doi":"https://doi.org/10.1109/icde51399.2021.00102","title":"An Efficient Approach for Cross-Silo Federated Learning to Rank","display_name":"An Efficient Approach for Cross-Silo Federated Learning to Rank","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3174540410","doi":"https://doi.org/10.1109/icde51399.2021.00102","mag":"3174540410"},"language":"en","primary_location":{"id":"doi:10.1109/icde51399.2021.00102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde51399.2021.00102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 37th International Conference on Data Engineering (ICDE)","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/A5101838851","display_name":"Yansheng Wang","orcid":"https://orcid.org/0009-0007-3496-8676"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yansheng Wang","raw_affiliation_strings":["Beihang University,SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI,China","SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI, Beihang University, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051874566","display_name":"Yongxin Tong","orcid":"https://orcid.org/0000-0002-5598-0312"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxin Tong","raw_affiliation_strings":["Beihang University,SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI,China","SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI, Beihang University, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102742513","display_name":"Dingyuan Shi","orcid":"https://orcid.org/0009-0007-0932-166X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingyuan Shi","raw_affiliation_strings":["Beihang University,SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI,China","SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI, Beihang University, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107234003","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0001-5447-8008"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xu","raw_affiliation_strings":["Beihang University,SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI,China","SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI, Beihang University, China"],"affiliations":[{"raw_affiliation_string":"Beihang University,SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"SKLSDE Lab, School of Computer Science and Engineering, BDBC and IRI, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101838851"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":3.6711,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94124334,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1128","last_page":"1139"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8294797539710999},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.8098379373550415},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8083095550537109},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7868461608886719},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7575145363807678},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5652933716773987},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.5581738948822021},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5065430402755737},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5052126049995422},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49959707260131836},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43243223428726196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42395031452178955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41965770721435547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41219067573547363},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3473860025405884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1489551067352295},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.10457956790924072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8294797539710999},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8098379373550415},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8083095550537109},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7868461608886719},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7575145363807678},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5652933716773987},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.5581738948822021},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5065430402755737},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5052126049995422},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49959707260131836},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43243223428726196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42395031452178955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41965770721435547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41219067573547363},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3473860025405884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1489551067352295},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.10457956790924072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde51399.2021.00102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde51399.2021.00102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 37th International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320326978","display_name":"State Key Laboratory of Software Development Environment","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2290496","https://openalex.org/W151938044","https://openalex.org/W1493892051","https://openalex.org/W1530210183","https://openalex.org/W1965972569","https://openalex.org/W1995484833","https://openalex.org/W2065265824","https://openalex.org/W2076470289","https://openalex.org/W2080234606","https://openalex.org/W2093390569","https://openalex.org/W2116950384","https://openalex.org/W2143331230","https://openalex.org/W2145426052","https://openalex.org/W2150307013","https://openalex.org/W2154496743","https://openalex.org/W2313589991","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2594622383","https://openalex.org/W2753629899","https://openalex.org/W2767079719","https://openalex.org/W2784621220","https://openalex.org/W2784672094","https://openalex.org/W2798455656","https://openalex.org/W2799200478","https://openalex.org/W2884475480","https://openalex.org/W2907887012","https://openalex.org/W2911978475","https://openalex.org/W2912213068","https://openalex.org/W2951483008","https://openalex.org/W2971243175","https://openalex.org/W2984259868","https://openalex.org/W2986693348","https://openalex.org/W2998628425","https://openalex.org/W3037497760","https://openalex.org/W3080797160","https://openalex.org/W3100923768","https://openalex.org/W4206765718","https://openalex.org/W4294106961","https://openalex.org/W4297687186","https://openalex.org/W4302313152","https://openalex.org/W4318619660","https://openalex.org/W6631787827","https://openalex.org/W6674037108","https://openalex.org/W6728757088","https://openalex.org/W6747597888","https://openalex.org/W6747855403","https://openalex.org/W6760226272","https://openalex.org/W6768911402","https://openalex.org/W6771536673"],"related_works":["https://openalex.org/W4286971788","https://openalex.org/W3199340467","https://openalex.org/W3157608626","https://openalex.org/W3132132958","https://openalex.org/W4321612632","https://openalex.org/W4322580403","https://openalex.org/W4399147128","https://openalex.org/W3193217249","https://openalex.org/W4280591108","https://openalex.org/W3021849752"],"abstract_inverted_index":{"Traditional":[0],"learning-to-rank":[1],"(LTR)":[2],"models":[3,49],"are":[4],"usually":[5],"trained":[6],"in":[7,57],"a":[8,13,62,86,108],"centralized":[9],"approach":[10],"based":[11,93],"upon":[12],"large":[14],"amount":[15],"of":[16,23,46,141],"data.":[17],"However,":[18],"with":[19,80],"the":[20,38,44,54,71,75,81,103,119,137,142],"increasing":[21],"awareness":[22],"data":[24,31,40],"privacy,":[25],"it":[26],"is":[27],"harder":[28],"to":[29],"collect":[30],"from":[32],"multiple":[33],"owners":[34],"as":[35],"before,":[36],"and":[37,97,139],"resultant":[39],"isolation":[41],"problem":[42],"makes":[43],"performance":[45],"learned":[47],"LTR":[48],"severely":[50],"compromised.":[51],"Inspired":[52],"by":[53],"recent":[55],"progress":[56],"federated":[58],"learning,":[59],"we":[60,83,106],"propose":[61,107],"novel":[63],"framework":[64],"named":[65,111],"Cross-Silo":[66],"Federated":[67],"Learning-to-Rank":[68],"(CS-F-LTR),":[69],"where":[70],"efficiency":[72,140],"issue":[73],"becomes":[74],"major":[76],"bottleneck.":[77],"To":[78,100],"deal":[79],"challenge,":[82],"first":[84],"devise":[85],"privacy-preserving":[87],"cross-party":[88],"term":[89],"frequency":[90],"querying":[91],"scheme":[92],"on":[94,127,133],"sketching":[95],"algorithms":[96],"differential":[98],"privacy.":[99],"further":[101],"improve":[102],"overall":[104],"efficiency,":[105],"new":[109],"structure":[110],"reverse":[112],"top-K":[113],"sketch":[114],"(RTK-Sketch)":[115],"which":[116],"significantly":[117],"accelerates":[118],"feature":[120],"generation":[121],"process":[122],"while":[123],"holding":[124],"theoretical":[125],"guarantees":[126],"accuracy":[128],"loss.":[129],"Extensive":[130],"experiments":[131],"conducted":[132],"public":[134],"datasets":[135],"verify":[136],"effectiveness":[138],"proposed":[143],"approach.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}