{"id":"https://openalex.org/W4388145809","doi":"https://doi.org/10.1109/twc.2023.3327372","title":"Accelerating Split Federated Learning Over Wireless Communication Networks","display_name":"Accelerating Split Federated Learning Over Wireless Communication Networks","publication_year":2023,"publication_date":"2023-11-01","ids":{"openalex":"https://openalex.org/W4388145809","doi":"https://doi.org/10.1109/twc.2023.3327372"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2023.3327372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3327372","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-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/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":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","school of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-0430-4422","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, 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/A5101967084","display_name":"Jinxuan Li","orcid":"https://orcid.org/0000-0002-4595-8568"},"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":"Jinxuan Li","raw_affiliation_strings":["Guangzhou Power Supply Bureau, Guangdong Power Grid Company Ltd. CSG, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Power Supply Bureau, Guangdong Power Grid Company Ltd. CSG, 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":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","school of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9447-0219","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, 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":["Guangzhou Power Supply Bureau, Guangdong Power Grid Company Ltd. CSG, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Power Supply Bureau, Guangdong Power Grid Company Ltd. CSG, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065457510","display_name":"Miaowen Wen","orcid":"https://orcid.org/0000-0002-9638-7048"},"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":"Miaowen Wen","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","school of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9638-7048","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, 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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.8156,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.98176011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"6","first_page":"5587","last_page":"5599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9390000104904175,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9269999861717224,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8894851803779602},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6302521228790283},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5332306027412415},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5328180193901062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5159281492233276},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4888900816440582},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4761348068714142},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4553854465484619},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4321843981742859},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4199557304382324},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.41784876585006714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3815876841545105},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.11133691668510437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8894851803779602},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6302521228790283},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5332306027412415},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5328180193901062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5159281492233276},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4888900816440582},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4761348068714142},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4553854465484619},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4321843981742859},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4199557304382324},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.41784876585006714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3815876841545105},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.11133691668510437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2023.3327372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3327372","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2268702383","https://openalex.org/W2565516711","https://openalex.org/W2618530766","https://openalex.org/W2860338957","https://openalex.org/W2910603373","https://openalex.org/W2920031528","https://openalex.org/W2950865323","https://openalex.org/W2963209930","https://openalex.org/W2977090839","https://openalex.org/W2980856918","https://openalex.org/W2981138228","https://openalex.org/W2989289980","https://openalex.org/W3009048827","https://openalex.org/W3018102029","https://openalex.org/W3021654819","https://openalex.org/W3035711801","https://openalex.org/W3059999910","https://openalex.org/W3089655738","https://openalex.org/W3100515187","https://openalex.org/W3108590825","https://openalex.org/W3109847748","https://openalex.org/W3117951887","https://openalex.org/W3164477047","https://openalex.org/W3178176830","https://openalex.org/W3202577926","https://openalex.org/W3209767145","https://openalex.org/W3211848727","https://openalex.org/W3214570517","https://openalex.org/W4225871758","https://openalex.org/W4226502413","https://openalex.org/W4236099117","https://openalex.org/W4289147263","https://openalex.org/W4312323164","https://openalex.org/W4319654190","https://openalex.org/W4319778953","https://openalex.org/W6637373629","https://openalex.org/W6679349572","https://openalex.org/W6728757088","https://openalex.org/W6756436328"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W3128807919","https://openalex.org/W3176411177","https://openalex.org/W3162668736","https://openalex.org/W3013760193","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":2026,"cited_by_count":9},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":13}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
