{"id":"https://openalex.org/W7128641852","doi":"https://doi.org/10.48550/arxiv.2602.09306","title":"Empowering Contrastive Federated Sequential Recommendation with LLMs","display_name":"Empowering Contrastive Federated Sequential Recommendation with LLMs","publication_year":2026,"publication_date":"2026-02-10","ids":{"openalex":"https://openalex.org/W7128641852","doi":"https://doi.org/10.48550/arxiv.2602.09306"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.09306","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125661091","display_name":"Thi Minh Chau Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nguyen, Thi Minh Chau","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005789250","display_name":"Minh Nguyen","orcid":"https://orcid.org/0000-0003-4762-1798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Minh Hieu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078026394","display_name":"Duc Anh Nguyen","orcid":"https://orcid.org/0000-0002-3693-2075"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Duc Anh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125630912","display_name":"Xuan Huong Tran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tran, Xuan Huong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121181419","display_name":"Thanh Trung Huynh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huynh, Thanh Trung","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125634026","display_name":"Quoc Viet Hung Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Quoc Viet Hung","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5125661091"],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.4659999907016754,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.4659999907016754,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.1776999980211258,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.07509999722242355,"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/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.6744999885559082},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5379999876022339},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5321999788284302},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5159000158309937},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.413100004196167},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3991999924182892},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.39570000767707825},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.39079999923706055},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.37049999833106995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8039000034332275},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.6744999885559082},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5379999876022339},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5321999788284302},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.423799991607666},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.39570000767707825},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.39079999923706055},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3675000071525574},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35010001063346863},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.33489999175071716},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.3262999951839447},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3174000084400177},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.3147999942302704},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.29019999504089355},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28929999470710754},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2782999873161316},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C169903001","wikidata":"https://www.wikidata.org/wiki/Q3264987","display_name":"Reciprocity (cultural anthropology)","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.09306","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.09306","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.09306","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.09306","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Federated":[0],"sequential":[1],"recommendation":[2],"(FedSeqRec)":[3],"aims":[4],"to":[5,35,91],"perform":[6],"next-item":[7],"prediction":[8],"while":[9,117],"keeping":[10],"user":[11,99,115],"data":[12,39],"decentralised,":[13],"yet":[14],"model":[15],"quality":[16],"is":[17],"frequently":[18],"constrained":[19],"by":[20],"fragmented,":[21],"noisy,":[22],"and":[23,121,169,174,185,192],"homogeneous":[24],"interaction":[25,119],"logs":[26],"stored":[27],"on":[28,172],"individual":[29],"devices.":[30],"Many":[31],"existing":[32],"approaches":[33],"attempt":[34],"compensate":[36],"through":[37,140],"manual":[38],"augmentation":[40],"or":[41,53,82],"additional":[42],"server-side":[43,198],"constraints,":[44],"but":[45],"these":[46,59],"strategies":[47],"either":[48],"introduce":[49],"limited":[50],"semantic":[51,76,209],"diversity":[52],"increase":[54],"system":[55],"overhead.":[56],"To":[57],"overcome":[58],"challenges,":[60],"we":[61],"propose":[62],"\\textbf{LUMOS},":[63],"a":[64,141,212],"parameter-isolated":[65],"FedSeqRec":[66],"architecture":[67],"that":[68,104,113,125,161],"integrates":[69],"large":[70],"language":[71],"models":[72],"(LLMs)":[73],"as":[74,127,211],"\\emph{local":[75],"generators}.":[77],"Instead":[78],"of":[79,180,207],"sharing":[80],"gradients":[81],"auxiliary":[83],"parameters,":[84],"LUMOS":[85,162],"privately":[86],"invokes":[87],"an":[88],"on-device":[89],"LLM":[90],"construct":[92],"three":[93,157],"complementary":[94],"sequence":[95],"variants":[96],"from":[97],"each":[98],"history:":[100],"(i)":[101],"\\emph{future-oriented}":[102],"trajectories":[103],"infer":[105],"plausible":[106],"behavioural":[107],"continuations,":[108],"(ii)":[109],"\\emph{semantically":[110],"equivalent":[111],"rephrasings}":[112],"retain":[114],"intent":[116],"diversifying":[118],"patterns,":[120],"(iii)":[122],"\\emph{preference-inconsistent":[123],"counterfactuals}":[124],"serve":[126],"informative":[128],"negatives.":[129],"These":[130],"synthesized":[131],"sequences":[132],"are":[133],"jointly":[134],"encoded":[135],"within":[136],"the":[137,178,205],"federated":[138,170,218],"backbone":[139],"tri-view":[142],"contrastive":[143],"optimisation":[144],"scheme,":[145],"enabling":[146],"richer":[147],"representation":[148],"learning":[149],"without":[150,196],"exposing":[151],"sensitive":[152],"information.":[153],"Experimental":[154],"results":[155],"across":[156],"public":[158],"benchmarks":[159],"show":[160],"achieves":[163],"consistent":[164],"gains":[165],"over":[166],"competitive":[167],"centralised":[168],"baselines":[171],"HR@20":[173],"NDCG@20.":[175],"In":[176],"addition,":[177],"use":[179],"semantically":[181],"grounded":[182],"positive":[183],"signals":[184],"counterfactual":[186],"negatives":[187],"improves":[188],"robustness":[189],"under":[190],"noisy":[191],"adversarial":[193],"environments,":[194],"even":[195],"dedicated":[197],"protection":[199],"modules.":[200],"Overall,":[201],"this":[202],"work":[203],"demonstrates":[204],"potential":[206],"LLM-driven":[208],"generation":[210],"new":[213],"paradigm":[214],"for":[215],"advancing":[216],"privacy-preserving":[217],"recommendation.":[219]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-12T00:00:00"}
