{"id":"https://openalex.org/W4283216618","doi":"https://doi.org/10.1109/infocom48880.2022.9796779","title":"AI in 5G: The Case of Online Distributed Transfer Learning over Edge Networks","display_name":"AI in 5G: The Case of Online Distributed Transfer Learning over Edge Networks","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4283216618","doi":"https://doi.org/10.1109/infocom48880.2022.9796779"},"language":"en","primary_location":{"id":"doi:10.1109/infocom48880.2022.9796779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796779","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - 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":"https://openalex.org/A5100605826","display_name":"Yulan Yuan","orcid":"https://orcid.org/0000-0001-9433-0227"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulan Yuan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,China","Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053369746","display_name":"Lei Jiao","orcid":"https://orcid.org/0000-0002-3964-3172"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Jiao","raw_affiliation_strings":["University of Oregon,USA","University of Oregon, USA"],"affiliations":[{"raw_affiliation_string":"University of Oregon,USA","institution_ids":["https://openalex.org/I181233156"]},{"raw_affiliation_string":"University of Oregon, USA","institution_ids":["https://openalex.org/I181233156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016383874","display_name":"Konglin Zhu","orcid":"https://orcid.org/0000-0001-7671-311X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Konglin Zhu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,China","Beijing University of Posts and Telecommunications, China","Purple Mountain Laboratories, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Purple Mountain Laboratories, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082208896","display_name":"Xiaojun Lin","orcid":"https://orcid.org/0000-0001-9117-7212"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojun Lin","raw_affiliation_strings":["Purdue University,USA","Purdue University, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University,USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351907","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0003-0424-9965"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,China","Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100605826"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.9391,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76099629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"810","last_page":"819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940999746322632,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.8383713960647583},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7437153458595276},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6120848059654236},{"id":"https://openalex.org/keywords/hindsight-bias","display_name":"Hindsight bias","score":0.5897966623306274},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.559306263923645},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5565347075462341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5031477808952332},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.47617262601852417},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4695117175579071},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.45744723081588745},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4518454074859619},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.4217034578323364},{"id":"https://openalex.org/keywords/online-model","display_name":"Online model","score":0.4216794967651367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40207958221435547},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3710903525352478},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1628856062889099}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8383713960647583},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7437153458595276},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6120848059654236},{"id":"https://openalex.org/C10347200","wikidata":"https://www.wikidata.org/wiki/Q1960297","display_name":"Hindsight bias","level":2,"score":0.5897966623306274},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.559306263923645},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5565347075462341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5031477808952332},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.47617262601852417},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4695117175579071},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.45744723081588745},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4518454074859619},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.4217034578323364},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.4216794967651367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40207958221435547},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3710903525352478},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1628856062889099},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom48880.2022.9796779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796779","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2000454347","https://openalex.org/W2005650084","https://openalex.org/W2013044826","https://openalex.org/W2089990924","https://openalex.org/W2229387242","https://openalex.org/W2418667810","https://openalex.org/W2551868040","https://openalex.org/W2591909298","https://openalex.org/W2602480929","https://openalex.org/W2888894561","https://openalex.org/W2908532574","https://openalex.org/W2909251905","https://openalex.org/W2914795900","https://openalex.org/W2919629997","https://openalex.org/W2920582503","https://openalex.org/W2955979265","https://openalex.org/W2963858265","https://openalex.org/W2972000667","https://openalex.org/W2985388670","https://openalex.org/W2990839184","https://openalex.org/W3006737624","https://openalex.org/W3035272520","https://openalex.org/W3047276766","https://openalex.org/W3047595056","https://openalex.org/W3128731563","https://openalex.org/W6758115209","https://openalex.org/W6767711306"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Transfer":[0],"learning":[1,23,54],"does":[2],"not":[3],"train":[4,13],"from":[5],"scratch":[6],"but":[7],"leverages":[8],"existing":[9,109],"models":[10,105,111,115],"to":[11,174],"help":[12],"the":[14,42,71,108,113,135,148,161,167],"new":[15,80,104],"model":[16,48,94,151],"of":[17,60,137,147,170],"better":[18],"accuracy.":[19,49],"Unfortunately,":[20],"realizing":[21],"transfer":[22,53],"in":[24,152],"distributed":[25,52],"cloud-edge":[26],"networks":[27],"faces":[28],"critical":[29],"challenges":[30],"such":[31],"as":[32,55],"online":[33,67,114],"training,":[34],"uncertain":[35],"network":[36],"environments,":[37],"time-coupled":[38],"control":[39],"decisions,":[40,81],"and":[41,47,78,98,112,154],"balance":[43],"between":[44,74],"resource":[45],"consumption":[46],"We":[50,64],"formulate":[51],"a":[56,143,156],"non-linear":[57],"mixed-integer":[58],"program":[59],"long-term":[61],"cost":[62],"optimization.":[63],"design":[65],"polynomial-time":[66],"algorithms":[68],"by":[69],"exploiting":[70],"real-time":[72],"trade-off":[73],"preserving":[75],"previous":[76],"decisions":[77],"applying":[79],"based":[82,122],"on":[83,123,176],"primal-dual":[84],"one-shot":[85],"solutions":[86],"for":[87,160],"each":[88],"single":[89,149],"time":[90],"slot.":[91],"While":[92],"orchestrating":[93],"placement,":[95],"data":[96,126],"dispatching,":[97],"inference":[99,124,138],"aggregation,":[100],"our":[101,171],"approach":[102,132,172],"produces":[103],"via":[106],"combining":[107],"offline":[110],"being":[116],"trained":[117],"using":[118],"weights":[119],"adaptively":[120],"updated":[121],"upon":[125],"samples":[127],"that":[128,146],"dynamically":[129],"arrive.":[130],"Our":[131],"provably":[133],"incurs":[134],"number":[136],"mistakes":[139],"no":[140],"greater":[141],"than":[142],"constant":[144,157],"times":[145],"best":[150],"hindsight,":[153],"achieves":[155],"competitive":[158],"ratio":[159],"total":[162],"cost.":[163],"Evaluations":[164],"have":[165],"confirmed":[166],"superior":[168],"performance":[169],"compared":[173],"alternatives":[175],"real-world":[177],"traces.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}