{"id":"https://openalex.org/W4392745559","doi":"https://doi.org/10.1109/tsc.2024.3377100","title":"FRLN: Federated Residual Ladder Network for Data-Protected QoS Prediction","display_name":"FRLN: Federated Residual Ladder Network for Data-Protected QoS Prediction","publication_year":2024,"publication_date":"2024-03-13","ids":{"openalex":"https://openalex.org/W4392745559","doi":"https://doi.org/10.1109/tsc.2024.3377100"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2024.3377100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2024.3377100","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Services Computing","raw_type":"journal-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/A5025230449","display_name":"Guobing Zou","orcid":"https://orcid.org/0000-0002-7865-8158"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobing Zou","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7865-8158","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325162","display_name":"W. Yu","orcid":"https://orcid.org/0009-0006-5901-2948"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhuo Yu","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-5901-2948","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000689165","display_name":"Shengxiang Hu","orcid":"https://orcid.org/0000-0002-1510-2478"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxiang Hu","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1510-2478","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076453110","display_name":"Yanglan Gan","orcid":"https://orcid.org/0000-0001-5931-9006"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanglan Gan","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5931-9006","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006352222","display_name":"Bofeng Zhang","orcid":"https://orcid.org/0000-0002-5001-1096"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bofeng Zhang","raw_affiliation_strings":["School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5001-1096","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393445","display_name":"Yixin Chen","orcid":"https://orcid.org/0000-0002-3704-4432"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixin Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Washington University, St. Louis, MO, USA"],"raw_orcid":"https://orcid.org/0000-0002-3704-4432","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Washington University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5006,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90100885,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":"3","first_page":"963","last_page":"976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9914000034332275,"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":0.9914000034332275,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8160510659217834},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.65946364402771},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5447677969932556},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.49493783712387085},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34265100955963135},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32880574464797974},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15722250938415527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8160510659217834},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.65946364402771},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5447677969932556},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.49493783712387085},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34265100955963135},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32880574464797974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15722250938415527}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsc.2024.3377100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2024.3377100","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Services Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4969275022","display_name":null,"funder_award_id":"62272290","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7395182650","display_name":null,"funder_award_id":"62172088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G846785406","display_name":"\u57fa\u4e8e\u5f02\u6784\u7f51\u7edc\u7684\u80bf\u7624\u81f4\u75c5\u901a\u8def\u6316\u6398\u53ca\u5019\u9009\u836f\u7269\u7b5b\u9009\u7b97\u6cd5\u7814\u7a76","funder_award_id":"21ZR1400400","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1776028013","https://openalex.org/W2072191819","https://openalex.org/W2091381870","https://openalex.org/W2109580672","https://openalex.org/W2140597141","https://openalex.org/W2162983389","https://openalex.org/W2164641162","https://openalex.org/W2473015933","https://openalex.org/W2473418344","https://openalex.org/W2524052287","https://openalex.org/W2534171194","https://openalex.org/W2605350416","https://openalex.org/W2756143483","https://openalex.org/W2756435302","https://openalex.org/W2795684161","https://openalex.org/W2884048157","https://openalex.org/W2897713187","https://openalex.org/W2899973675","https://openalex.org/W2930926105","https://openalex.org/W2969915818","https://openalex.org/W2990789643","https://openalex.org/W2993119222","https://openalex.org/W3011380968","https://openalex.org/W3103245149","https://openalex.org/W3115736683","https://openalex.org/W3163465952","https://openalex.org/W3204880307","https://openalex.org/W4206320562","https://openalex.org/W4214580404","https://openalex.org/W4313000908","https://openalex.org/W4313037130","https://openalex.org/W6638667902","https://openalex.org/W6680451568","https://openalex.org/W6683984541","https://openalex.org/W6728757088","https://openalex.org/W6770590064","https://openalex.org/W6773817997","https://openalex.org/W6779821316","https://openalex.org/W6791102956","https://openalex.org/W6803951002","https://openalex.org/W6845846520"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W2768526084","https://openalex.org/W151988857"],"abstract_inverted_index":{"QoS":[0,15,31,38,63,80,94,112,140,190,214],"prediction":[1,16,39,95,141,215],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,34,199,216,221,236],"service-oriented":[7],"downstream":[8],"tasks.":[9],"However,":[10],"most":[11],"of":[12,28,52,79,92,109,127,153,170,187,197],"current":[13],"state-of-the-art":[14],"approaches":[17,24,55],"suffer":[18],"from":[19,131,174,180],"two":[20,85],"limitations.":[21],"First,":[22],"traditional":[23],"typically":[25],"require":[26],"collection":[27],"user-service":[29,70,189],"historical":[30],"invocations":[32],"centrally":[33],"order":[35],"to":[36,45,123],"improve":[37],"accuracy,":[40],"which":[41,102,168],"poses":[42],"a":[43,89,162,184,209],"threat":[44],"user":[46,104],"data":[47,59,105,154],"privacy.":[48],"Second,":[49],"although":[50],"few":[51],"the":[53,77,151,195,204],"recent":[54],"take":[56],"into":[57],"account":[58],"protection":[60,106],"when":[61],"predicting":[62,110],"values,":[64],"they":[65],"still":[66],"cannot":[67],"effectively":[68],"capture":[69],"complex":[71],"nonlinear":[72],"invocation":[73],"relationships,":[74],"significantly":[75],"influencing":[76],"performance":[78],"prediction.":[81],"To":[82],"address":[83],"these":[84],"issues,":[86],"we":[87],"propose":[88],"novel":[90],"framework":[91,207],"data-protected":[93],"called":[96,166],"Federated":[97],"Residual":[98,119],"Ladder":[99,120],"Network":[100,121],"(FRLN),":[101],"ensures":[103],"and":[107,129,134,177,224,234],"effectiveness":[108,196],"missing":[111],"values.":[113],"It":[114],"initially":[115],"leverages":[116],"our":[117],"designed":[118],"(RLN)":[122],"extract":[124],"latent":[125],"features":[126],"users":[128,179],"services":[130,173],"both":[132],"low":[133],"high":[135],"dimensional":[136],"spaces.":[137],"Then,":[138],"local":[139],"models":[142],"are":[143,227],"collaboratively":[144],"trained":[145],"by":[146],"personalized":[147],"federated":[148],"learning":[149],"with":[150],"consideration":[152],"heterogeneity.":[155],"Extensive":[156],"experiments":[157],"have":[158],"been":[159],"conducted":[160],"on":[161],"real-world":[163,237],"large-scale":[164],"dataset":[165],"WS-DREAM,":[167],"consists":[169],"5825":[171],"Web":[172],"74":[175],"regions":[176,182],"339":[178],"31":[181],"comprising":[183],"total":[185],"number":[186],"1,974,675":[188],"invocations.":[191],"Experimental":[192],"results":[193],"demonstrate":[194],"FRLN":[198,206],"multiple":[200],"evaluation":[201],"metrics.":[202],"While":[203],"proposed":[205],"marks":[208],"significant":[210],"step":[211],"forward":[212],"for":[213,229],"machine":[217],"learning,":[218],"ongoing":[219],"advancements":[220],"ML":[222],"techniques":[223],"expanded":[225],"datasets":[226],"essential":[228],"further":[230],"enhancing":[231],"its":[232],"precision":[233],"applicability":[235],"scenarios.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}