{"id":"https://openalex.org/W7084092871","doi":"https://doi.org/10.1109/infocom55648.2025.11044578","title":"Towards Federated Inference: An Online Model Ensemble Framework for Cooperative Edge AI","display_name":"Towards Federated Inference: An Online Model Ensemble Framework for Cooperative Edge AI","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W7084092871","doi":"https://doi.org/10.1109/infocom55648.2025.11044578"},"language":"en","primary_location":{"id":"doi:10.1109/infocom55648.2025.11044578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom55648.2025.11044578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2025 - IEEE Conference on Computer Communications","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":null,"display_name":"Zhi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiajie Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Xie","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mengke Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengke Huang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tao Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Ouyang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fangming Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]},{"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":"Fangming Liu","raw_affiliation_strings":["Huazhong University of Science and Technology,Peng Cheng Laboratory"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Peng Cheng Laboratory","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University,Key Laboratory of Machine Intelligence and Advanced Computing,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.7782,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79435294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T14323","display_name":"Agriculture, Water, and Health","score":0.05570000037550926,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14323","display_name":"Agriculture, Water, and Health","score":0.05570000037550926,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.050999999046325684,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11259","display_name":"Agriculture Sustainability and Environmental Impact","score":0.03359999880194664,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.871399998664856},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6894999742507935},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5598000288009644},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5552999973297119},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.517300009727478},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4846999943256378},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4359000027179718},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4004000127315521},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.3926999866962433}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.871399998664856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8073999881744385},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6894999742507935},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5598000288009644},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5552999973297119},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.517300009727478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5062999725341797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49239999055862427},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4846999943256378},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40849998593330383},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4004000127315521},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.3926999866962433},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.3668999969959259},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3531000018119812},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3418999910354614},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C198370458","wikidata":"https://www.wikidata.org/wiki/Q586459","display_name":"Type inference","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom55648.2025.11044578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom55648.2025.11044578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2025 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6507677591","display_name":null,"funder_award_id":"62172454,62432004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Edge":[0],"inference":[1,27,55,66,87,170],"leverages":[2],"edge":[3,26,46,65,80],"computing":[4],"devices":[5],"for":[6],"the":[7,18,23,113,116,119,124],"last":[8],"mile":[9],"delivery":[10],"of":[11,112,118,157],"artificial":[12],"intelligence":[13],"(AI)":[14],"services.":[15],"To":[16,57,126],"meet":[17],"latency":[19],"requirements":[20],"while":[21,99],"overcoming":[22],"resource":[24,102],"limitations,":[25],"systems":[28],"deploy":[29],"lightweight":[30],"-":[31,34],"typically":[32],"compressed":[33,45],"DNN":[35],"models.":[36],"However,":[37],"due":[38],"to":[39,50,82,101,123],"data":[40],"drift":[41],"during":[42],"deployment,":[43],"these":[44,128],"models":[47],"often":[48],"fail":[49],"deliver":[51],"satisfactory":[52],"and":[53,104,115,148],"stable":[54],"accuracy.":[56,88],"address":[58,127],"this":[59],"issue,":[60],"we":[61,130],"propose":[62,131],"a":[63,145,155],"novel":[64],"serving":[67],"paradigm":[68],"called":[69],"Federated":[70,93],"Inference.":[71],"This":[72],"approach,":[73],"based":[74],"on":[75],"ensemble":[76,97,135],"learning,":[77],"groups":[78],"multiple":[79],"workers":[81],"form":[83],"an":[84,132],"ensemble,":[85],"enhancing":[86],"A":[89],"key":[90],"challenge":[91],"in":[92],"Inference":[94],"is":[95],"maximizing":[96],"accuracy":[98,171],"adhering":[100],"budgets":[103],"Service":[105],"Level":[106],"Objectives":[107],"(SLOs).":[108],"The":[109],"dynamic":[110],"nature":[111],"environment":[114],"NP-hardness":[117],"optimization":[120],"problem":[121],"add":[122],"complexity.":[125],"challenges,":[129],"online":[133,139],"model":[134],"framework":[136,159],"that":[137,166],"integrates":[138],"learning":[140],"with":[141],"approximate":[142],"optimization,":[143],"offering":[144],"theoretically":[146],"rigorous":[147],"computationally":[149],"efficient":[150],"solution.":[151],"We":[152],"have":[153],"implemented":[154],"prototype":[156],"our":[158],"and,":[160],"through":[161],"extensive":[162],"test-bed":[163],"evaluations,":[164],"demonstrate":[165],"it":[167],"improves":[168],"average":[169],"by":[172],"<tex":[173],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$12\\%":[175],"\\sim":[176],"80\\%$</tex>.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}