{"id":"https://openalex.org/W4411640202","doi":"https://doi.org/10.1109/ton.2025.3577790","title":"AdaptSFL: Adaptive Split Federated Learning in Resource-Constrained Edge Networks","display_name":"AdaptSFL: Adaptive Split Federated Learning in Resource-Constrained Edge Networks","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411640202","doi":"https://doi.org/10.1109/ton.2025.3577790"},"language":"en","primary_location":{"id":"doi:10.1109/ton.2025.3577790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ton.2025.3577790","pdf_url":null,"source":{"id":"https://openalex.org/S5407042750","display_name":"IEEE Transactions on Networking","issn_l":"2998-4157","issn":["2998-4157"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Networking","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/A5089094818","display_name":"Zheng Lin","orcid":"https://orcid.org/0000-0002-4463-5652"},"institutions":[{"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":true,"raw_author_name":"Zheng Lin","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023676698","display_name":"Guanqiao Qu","orcid":"https://orcid.org/0000-0002-5291-3317"},"institutions":[{"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":"Guanqiao Qu","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323691","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-1748-297X"},"institutions":[{"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":"Wei Wei","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083484070","display_name":"Xianhao Chen","orcid":"https://orcid.org/0000-0002-4295-940X"},"institutions":[{"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":"Xianhao Chen","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020917506","display_name":"Kin K. Leung","orcid":"https://orcid.org/0000-0002-3860-6257"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kin K. Leung","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Department of Computing, Imperial College, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Department of Computing, Imperial College, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089094818"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":53.3562,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.99832381,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":"6","first_page":"2993","last_page":"3008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9979000091552734,"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":0.9979000091552734,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9764999747276306,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9728999733924866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6092272400856018},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.602653443813324},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4923967123031616},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4140596389770508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29792895913124084},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27536261081695557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092272400856018},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.602653443813324},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4923967123031616},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4140596389770508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29792895913124084},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27536261081695557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ton.2025.3577790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ton.2025.3577790","pdf_url":null,"source":{"id":"https://openalex.org/S5407042750","display_name":"IEEE Transactions on Networking","issn_l":"2998-4157","issn":["2998-4157"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1857081372","display_name":null,"funder_award_id":"Collaborative Research Scheme (CRS) HKU702/24","funder_id":"https://openalex.org/F4320322887","funder_display_name":"The Research Council"},{"id":"https://openalex.org/G5135501921","display_name":null,"funder_award_id":"27213824","funder_id":"https://openalex.org/F4320322887","funder_display_name":"The Research Council"},{"id":"https://openalex.org/G5960838679","display_name":null,"funder_award_id":"EP/Y037242/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320322887","display_name":"The Research Council","ror":"https://ror.org/03tcppy59"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1540764732","https://openalex.org/W1967956032","https://openalex.org/W2052312065","https://openalex.org/W2056494578","https://openalex.org/W2194775991","https://openalex.org/W2744599870","https://openalex.org/W2962696932","https://openalex.org/W2962952793","https://openalex.org/W2963318081","https://openalex.org/W2981138228","https://openalex.org/W3004277316","https://openalex.org/W3016632787","https://openalex.org/W3018102029","https://openalex.org/W3089655738","https://openalex.org/W3109847748","https://openalex.org/W3160246415","https://openalex.org/W3202577926","https://openalex.org/W3212941463","https://openalex.org/W3213008925","https://openalex.org/W3213449942","https://openalex.org/W4224222568","https://openalex.org/W4226116859","https://openalex.org/W4281736231","https://openalex.org/W4285156422","https://openalex.org/W4310077675","https://openalex.org/W4312340627","https://openalex.org/W4313126090","https://openalex.org/W4319778953","https://openalex.org/W4360993089","https://openalex.org/W4381785874","https://openalex.org/W4382318985","https://openalex.org/W4388676601","https://openalex.org/W4391223689","https://openalex.org/W4391248691","https://openalex.org/W4396878072","https://openalex.org/W4400433363","https://openalex.org/W4403420278","https://openalex.org/W4405014735","https://openalex.org/W4409917263"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"increasing":[1],"complexity":[2],"of":[3,46,63,69],"deep":[4],"neural":[5],"networks":[6],"poses":[7],"significant":[8],"barriers":[9],"to":[10,13,101,117,139],"democratizing":[11],"AI":[12],"resource-limited":[14],"edge":[15,106],"devices.":[16],"To":[17],"address":[18],"this":[19,54,87,91],"challenge,":[20],"split":[21],"federated":[22],"learning":[23,80],"(SFL)":[24],"has":[25],"emerged":[26],"as":[27],"a":[28,59,83],"promising":[29],"solution":[30],"that":[31,130],"enables":[32],"device-server":[33],"co-training":[34],"through":[35],"model":[36,70,75],"splitting.":[37],"However,":[38],"although":[39],"system":[40],"optimization":[41],"substantially":[42],"influences":[43],"the":[44,48,67],"performance":[45],"SFL,":[47,64],"problem":[49],"remains":[50],"largely":[51],"uncharted.":[52],"In":[53],"paper,":[55],"we":[56,94],"first":[57],"provide":[58],"unified":[60],"convergence":[61,92],"analysis":[62],"which":[65],"quantifies":[66],"impact":[68],"splitting":[71],"(MS)":[72],"and":[73,114,121],"client-side":[74,115],"aggregation":[76],"(MA)":[77],"on":[78,90],"its":[79],"performance,":[81],"laying":[82],"theoretical":[84],"foundation":[85],"for":[86],"field.":[88],"Based":[89],"bound,":[93],"introduce":[95],"AdaptSFL,":[96],"an":[97],"adaptive":[98],"SFL":[99,103],"framework":[100,134],"accelerate":[102],"under":[104],"resource-constrained":[105],"computing":[107],"systems.":[108],"Specifically,":[109],"AdaptSFL":[110,133],"adaptively":[111],"controls":[112],"MS":[113],"MA":[116],"balance":[118],"communication-computing":[119],"latency":[120],"training":[122],"convergence.":[123],"Extensive":[124],"simulations":[125],"across":[126],"various":[127],"datasets":[128],"validate":[129],"our":[131],"proposed":[132],"takes":[135],"considerably":[136],"less":[137],"time":[138],"achieve":[140],"target":[141],"accuracy":[142],"than":[143],"existing":[144],"benchmarks.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}