{"id":"https://openalex.org/W7203621461","doi":"https://doi.org/10.1145/3774904.3793003","title":"FairFRL: Fairness-aware Federated Representation Learning for Cross-domain Sequential Recommendation","display_name":"FairFRL: Fairness-aware Federated Representation Learning for Cross-domain Sequential Recommendation","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7203621461","doi":"https://doi.org/10.1145/3774904.3793003"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3793003","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3793003","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3793003","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020651408","display_name":"Tao Tang","orcid":"https://orcid.org/0000-0001-7356-7196"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Tang","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7356-7196","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034529142","display_name":"Mujie Liu","orcid":"https://orcid.org/0009-0002-0879-7168"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mujie Liu","raw_affiliation_strings":["Federation University Australia, Ballarat, Australia"],"raw_orcid":"https://orcid.org/0009-0002-0879-7168","affiliations":[{"raw_affiliation_string":"Federation University Australia, Ballarat, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103071679","display_name":"Botao Liu","orcid":"https://orcid.org/0000-0002-6963-957X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Botao Liu","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-6656-0221","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147317622","display_name":"Wei Du","orcid":"https://orcid.org/0009-0000-2861-6622"},"institutions":[{"id":"https://openalex.org/I898250095","display_name":"Industrial and Commercial Bank of China","ror":"https://ror.org/02zcab046","country_code":"CN","type":"other","lineage":["https://openalex.org/I898250095"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Du","raw_affiliation_strings":["Xinjiang Rural Commercial Bank Co., Ltd., Urumqi, China"],"raw_orcid":"https://orcid.org/0009-0000-2861-6622","affiliations":[{"raw_affiliation_string":"Xinjiang Rural Commercial Bank Co., Ltd., Urumqi, China","institution_ids":["https://openalex.org/I898250095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430187","display_name":"Liping Chen","orcid":"https://orcid.org/0009-0001-0937-4290"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Liping Chen","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":"https://orcid.org/0009-0001-0937-4290","affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064795286","display_name":"Xinrui Cheng","orcid":"https://orcid.org/0009-0000-1483-4506"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xinrui Cheng","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":"https://orcid.org/0009-0000-1483-4506","affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100584342","display_name":"Jiaxin Du","orcid":"https://orcid.org/0000-0003-1776-9628"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Du","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1776-9628","affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030323127","display_name":"Xiangjie Kong","orcid":"https://orcid.org/0000-0003-2698-3319"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjie Kong","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2698-3319","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China and Zhejiang Key Laboratory of Visual Information Intelligent Processing, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9593","last_page":"9603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6618000268936157},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5794000029563904},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5640000104904175},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4699000120162964},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.4000999927520752},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.37929999828338623},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.3781000077724457},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.36660000681877136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8352000117301941},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6618000268936157},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5794000029563904},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4699000120162964},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.3781000077724457},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C78780964","wikidata":"https://www.wikidata.org/wiki/Q7233193","display_name":"Position paper","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2590999901294708},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3793003","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3793003","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3793003","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3793003","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2963944640","https://openalex.org/W3081273427","https://openalex.org/W3174074918","https://openalex.org/W3206127589","https://openalex.org/W4306317751","https://openalex.org/W4378501083","https://openalex.org/W4391250546","https://openalex.org/W4393147612","https://openalex.org/W4394717688","https://openalex.org/W4396242078","https://openalex.org/W4396735718","https://openalex.org/W4402192862","https://openalex.org/W4402525442","https://openalex.org/W4403791521","https://openalex.org/W4406387707","https://openalex.org/W4408124756","https://openalex.org/W4408145526","https://openalex.org/W4409657215","https://openalex.org/W4412377196","https://openalex.org/W4415797369"],"related_works":[],"abstract_inverted_index":{"Cross-domain":[0],"sequential":[1],"recommendation":[2,77,172],"is":[3],"increasingly":[4],"important":[5],"in":[6],"modern":[7],"Web":[8,171],"ecosystems,":[9],"where":[10],"user":[11,39],"behaviors":[12],"span":[13],"multiple":[14,149],"independently":[15],"operated":[16],"services":[17],"that":[18,139],"maintain":[19],"strict":[20],"data":[21,130],"isolation":[22],"for":[23,34],"privacy":[24],"and":[25,55,79,122,125,145,151,168],"regulatory":[26],"compliance.":[27],"Federated":[28],"learning":[29,95],"offers":[30],"a":[31,46,91,162],"practical":[32],"paradigm":[33],"such":[35],"cross-domain":[36,104,112,155],"collaboration,":[37],"but":[38],"preferences":[40],"evolve":[41],"asynchronously":[42],"across":[43,148],"services,":[44],"creating":[45],"substantial":[47],"distribution":[48],"shift.":[49],"This":[50],"drift":[51,113],"leads":[52],"to":[53,98],"unstable":[54],"unequal":[56],"domain":[57,117],"contributions:":[58],"behaviorally":[59],"rich":[60],"domains":[61,69],"dominate":[62],"global":[63],"updates,":[64],"while":[65,128],"low-resource":[66],"or":[67],"volatile":[68],"exert":[70],"limited":[71],"influence.":[72],"Such":[73],"an":[74],"imbalance":[75,101,109],"degrades":[76],"accuracy":[78],"raises":[80],"fundamental":[81],"fairness":[82],"concerns.":[83],"To":[84],"address":[85],"these":[86],"challenges,":[87],"we":[88],"propose":[89],"FairFRL,":[90],"fairness-aware":[92],"federated":[93,120,144],"representation":[94],"framework":[96],"designed":[97],"mitigate":[99],"contribution":[100,108],"under":[102,110],"dynamic":[103,111],"drift.":[105],"FairFRL":[106,140,160],"mitigates":[107],"by":[114],"jointly":[115],"regulating":[116],"influence":[118],"during":[119],"aggregation":[121],"disentangling":[123],"domain-shared":[124],"domain-exclusive":[126],"semantics,":[127],"preserving":[129],"locality.":[131],"Experiments":[132],"on":[133],"real-world":[134],"Amazon":[135],"multi-domain":[136],"datasets":[137],"show":[138],"consistently":[141],"outperforms":[142],"strong":[143],"centralized":[146],"baselines":[147],"metrics":[150],"achieves":[152],"more":[153],"equitable":[154],"contributions.":[156],"These":[157],"results":[158],"position":[159],"as":[161],"principled":[163],"step":[164],"toward":[165],"responsible,":[166],"fair,":[167],"socially":[169],"aligned":[170],"systems.":[173]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2026-08-18T00:00:00"}