{"id":"https://openalex.org/W4389544912","doi":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333442","title":"Latency Minimization for Split Federated Learning","display_name":"Latency Minimization for Split Federated Learning","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4389544912","doi":"https://doi.org/10.1109/vtc2023-fall60731.2023.10333442"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2023-fall60731.2023.10333442","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2023-fall60731.2023.10333442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087251574","display_name":"Jie Guo","orcid":"https://orcid.org/0000-0003-2554-4998"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Guo","raw_affiliation_strings":["Guangdong Power Grid Co., Ltd.,Guangzhou Power Supply Bureau,Guangzhou,China","Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Co., Ltd.,Guangzhou Power Supply Bureau,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]},{"raw_affiliation_string":"Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110960141","display_name":"Ce Xu","orcid":"https://orcid.org/0009-0007-0430-4422"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Xu","raw_affiliation_strings":["South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085604498","display_name":"Yushi Ling","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushi Ling","raw_affiliation_strings":["Guangdong Power Grid Co., Ltd.,Guangzhou Power Supply Bureau,Guangzhou,China","Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Co., Ltd.,Guangzhou Power Supply Bureau,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]},{"raw_affiliation_string":"Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390907","display_name":"Yuan Liu","orcid":"https://orcid.org/0000-0002-9447-0219"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Liu","raw_affiliation_strings":["South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Electronic and Information Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377679","display_name":"Qi Yu","orcid":"https://orcid.org/0000-0002-0490-0749"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Yu","raw_affiliation_strings":["Guangdong Power Grid Co., Ltd.,Guangzhou Power Supply Bureau,Guangzhou,China","Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Co., Ltd.,Guangzhou Power Supply Bureau,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]},{"raw_affiliation_string":"Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9757999777793884,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9506999850273132,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8502804040908813},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6349198818206787},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.622969925403595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5308103561401367},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5189716219902039},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5164604187011719},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47898435592651367},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.43452784419059753},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42210516333580017},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.41633841395378113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36017847061157227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1616804003715515},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.1115255057811737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8502804040908813},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6349198818206787},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.622969925403595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5308103561401367},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5189716219902039},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5164604187011719},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47898435592651367},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43452784419059753},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42210516333580017},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.41633841395378113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36017847061157227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1616804003715515},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.1115255057811737},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2023-fall60731.2023.10333442","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/vtc2023-fall60731.2023.10333442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323192","display_name":"China Southern Power Grid","ror":"https://ror.org/03hkh9419"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2268702383","https://openalex.org/W2604738573","https://openalex.org/W2618530766","https://openalex.org/W2860338957","https://openalex.org/W2920031528","https://openalex.org/W2945558825","https://openalex.org/W2963209930","https://openalex.org/W2963821095","https://openalex.org/W2980856918","https://openalex.org/W3009048827","https://openalex.org/W3018102029","https://openalex.org/W3021654819","https://openalex.org/W3035711801","https://openalex.org/W3089655738","https://openalex.org/W3100515187","https://openalex.org/W3156711202","https://openalex.org/W3164477047","https://openalex.org/W3202577926","https://openalex.org/W3211848727","https://openalex.org/W3214570517","https://openalex.org/W4236099117","https://openalex.org/W4284671922","https://openalex.org/W4289147263","https://openalex.org/W4312323164","https://openalex.org/W4319654190","https://openalex.org/W4319778953","https://openalex.org/W4319988669","https://openalex.org/W6728757088","https://openalex.org/W6756436328"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W3128807919","https://openalex.org/W3176411177","https://openalex.org/W3013760193","https://openalex.org/W3162668736","https://openalex.org/W4366999913","https://openalex.org/W4281678247","https://openalex.org/W4381489698","https://openalex.org/W3014007418","https://openalex.org/W3131458535"],"abstract_inverted_index":{"The":[0],"development":[1],"of":[2,11,21,26,88,97,106,113,120,152],"artificial":[3],"intelligence":[4],"(AI)":[5],"provides":[6],"opportunities":[7],"for":[8,66],"the":[9,18,83,93,129,138,150],"promotion":[10],"deep":[12],"neural":[13],"network":[14],"(DNN)-based":[15],"applications.":[16],"However,":[17],"large":[19],"amount":[20],"parameters":[22],"and":[23,63,92,124,143,158],"computational":[24],"complexity":[25],"DNN":[27,52],"makes":[28],"it":[29,33],"difficult":[30],"to":[31,43,127],"deploy":[32],"on":[34,61],"edge":[35],"devices":[36,108],"which":[37,51,58],"are":[38,59],"resource-constrained.":[39],"An":[40],"efficient":[41],"method":[42],"address":[44],"this":[45,71],"challenge":[46],"is":[47,53],"model":[48,85,94],"partition/splitting,":[49],"in":[50,155],"divided":[54],"into":[55,140],"two":[56,141],"parts":[57],"deployed":[60],"device":[62],"server":[64],"respectively":[65],"co-training":[67],"or":[68],"co-inference.":[69],"In":[70],"paper,":[72],"we":[73,136],"consider":[74,102],"a":[75,103,117],"split":[76,98,111,121],"federated":[77,89],"learning":[78,90,99],"(SFL)":[79],"framework":[80],"that":[81],"combines":[82],"parallel":[84],"training":[86],"mechanism":[87],"(FL)":[91],"splitting":[95],"structure":[96],"(SL).":[100],"We":[101,115],"practical":[104],"scenario":[105],"heterogeneous":[107],"with":[109],"individual":[110],"points":[112],"DNN.":[114],"formulate":[116],"joint":[118],"problem":[119,139],"point":[122],"selection":[123],"bandwidth":[125],"allocation":[126],"minimize":[128],"system":[130],"latency.":[131],"By":[132],"using":[133],"alternating":[134],"optimization,":[135],"decompose":[137],"sub-problems":[142],"solve":[144],"them":[145],"optimally.":[146],"Experiment":[147],"results":[148],"demonstrate":[149],"superiority":[151],"our":[153],"work":[154],"latency":[156],"reduction":[157],"accuracy":[159],"improvement.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}