{"id":"https://openalex.org/W7125143040","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331416","title":"LAFA: Agentic LLM-Driven Federated Analytics Over Decentralized Data Sources","display_name":"LAFA: Agentic LLM-Driven Federated Analytics Over Decentralized Data Sources","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W7125143040","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331416"},"language":null,"primary_location":{"id":"doi:10.1109/cloudcom67567.2025.11331416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","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/A5074054081","display_name":"Haichao Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haichao Ji","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077547345","display_name":"Zibo Wang","orcid":"https://orcid.org/0000-0001-9554-6695"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibo Wang","raw_affiliation_strings":["Peng Cheng Laboratory,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123530053","display_name":"Cheng Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Cheng Pan","raw_affiliation_strings":["The University of Hong Kong,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Hong Kong,China","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077580654","display_name":"Meng Han","orcid":"https://orcid.org/0000-0002-5008-5167"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Han","raw_affiliation_strings":["Zhejiang University,Hangzhou,Zhejiang,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hangzhou,Zhejiang,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100515623","display_name":"Yifei Zhu","orcid":"https://orcid.org/0009-0005-6584-2684"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123461313","display_name":"Dan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":["The Hong Kong Polytechnic University,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023381631","display_name":"Zhu Han","orcid":"https://orcid.org/0000-0002-8602-864X"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Han","raw_affiliation_strings":["University of Houston,Houston,TX,USA"],"affiliations":[{"raw_affiliation_string":"University of Houston,Houston,TX,USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5074054081"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80962508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.20059999823570251,"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/T14347","display_name":"Big Data and Digital Economy","score":0.20059999823570251,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.08730000257492065,"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":0.08659999817609787,"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/executable","display_name":"Executable","score":0.7965999841690063},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6998999714851379},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.600600004196167},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.4781000018119812},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.4564000070095062},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41920000314712524},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4025999903678894},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.3686000108718872},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.3659000098705292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8652999997138977},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.7965999841690063},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6998999714851379},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.600600004196167},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.4781000018119812},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.4564000070095062},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C2779729312","wikidata":"https://www.wikidata.org/wiki/Q784232","display_name":"Query plan","level":5,"score":0.3377000093460083},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3292999863624573},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C56288433","wikidata":"https://www.wikidata.org/wiki/Q58673","display_name":"Data manipulation language","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C179603123","wikidata":"https://www.wikidata.org/wiki/Q1941921","display_name":"Modeling language","level":3,"score":0.311599999666214},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3084000051021576},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.29280000925064087},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28529998660087585},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2728999853134155},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C3739613","wikidata":"https://www.wikidata.org/wiki/Q679003","display_name":"Distributed Computing Environment","level":2,"score":0.2508000135421753},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cloudcom67567.2025.11331416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4376300871372223,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G3512854636","display_name":null,"funder_award_id":"2023YFB2704400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1981029888","https://openalex.org/W1984680759","https://openalex.org/W2164327070","https://openalex.org/W2532967691","https://openalex.org/W2981645102","https://openalex.org/W3117066972","https://openalex.org/W3207183145","https://openalex.org/W4283215441","https://openalex.org/W4290875407","https://openalex.org/W4385270425","https://openalex.org/W4387321092","https://openalex.org/W4393184946","https://openalex.org/W4399205269","https://openalex.org/W4400375663","https://openalex.org/W4401508047","https://openalex.org/W4404181300","https://openalex.org/W4409327161","https://openalex.org/W4414898326"],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"shown":[5],"great":[6],"promise":[7],"in":[8,191],"automating":[9],"data":[10,34,52,78],"analytics":[11,26,45,79,185],"tasks":[12],"by":[13,160,172],"interpreting":[14],"natural":[15,58,90,188],"language":[16,59,91,189],"queries":[17,92,107],"and":[18,61,93,137,144,147,167],"generating":[19],"multi-operation":[20],"execution":[21,131,163],"plans.":[22],"However,":[23],"existing":[24],"LLM-agent-based":[25,77],"frameworks":[27],"operate":[28],"under":[29],"the":[30,72,192],"assumption":[31],"of":[32,122],"centralized":[33],"access,":[35],"offering":[36],"little":[37],"to":[38],"no":[39],"privacy":[40],"protection.":[41],"In":[42,66],"contrast,":[43],"federated":[44],"(FA)":[46],"enables":[47],"privacy-preserving":[48],"computation":[49],"across":[50],"distributed":[51],"sources,":[53],"but":[54],"lacks":[55],"support":[56],"for":[57,182],"input":[60,190],"requires":[62],"structured,":[63],"machine-readable":[64],"queries.":[65],"this":[67],"work,":[68],"we":[69],"present":[70],"LAFA,":[71],"first":[73,104],"system":[74],"that":[75,88,153,186],"integrates":[76],"with":[80],"FA.":[81],"LAFA":[82,154],"introduces":[83],"a":[84,111,118,173,179],"hierarchical":[85],"multi-agent":[86],"architecture":[87],"accepts":[89],"transforms":[94],"them":[95],"into":[96,108,117],"optimized,":[97],"executable":[98],"FA":[99,123,170,193],"workflows.":[100],"A":[101],"coarse-grained":[102],"planner":[103,113],"decomposes":[105],"complex":[106],"sub-queries,":[109],"while":[110],"fine-grained":[112],"maps":[114],"each":[115],"sub-query":[116],"Directed":[119],"Acyclic":[120],"Graph":[121],"operations":[124,143,171],"using":[125],"prior":[126],"structural":[127],"knowledge.":[128],"To":[129],"improve":[130],"efficiency,":[132],"an":[133],"optimizer":[134],"agent":[135],"rewrites":[136],"merges":[138],"multiple":[139],"DAGs,":[140],"eliminating":[141],"redundant":[142],"minimizing":[145],"computational":[146],"communicational":[148],"overhead.":[149],"Our":[150],"experiments":[151],"demonstrate":[152],"consistently":[155],"outperforms":[156],"baseline":[157],"prompting":[158],"strategies":[159],"achieving":[161],"higher":[162],"plan":[164],"success":[165],"rates":[166],"reducing":[168],"resource-intensive":[169],"substantial":[174],"margin.":[175],"This":[176],"work":[177],"establishes":[178],"practical":[180],"foundation":[181],"privacy-preserving,":[183],"LLM-driven":[184],"supports":[187],"setting.":[194]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-22T00:00:00"}