{"id":"https://openalex.org/W4405219773","doi":"https://doi.org/10.1109/tvt.2024.3515083","title":"Federated Split Learning With Model Pruning and Gradient Quantization in Wireless Networks","display_name":"Federated Split Learning With Model Pruning and Gradient Quantization in Wireless Networks","publication_year":2024,"publication_date":"2024-12-11","ids":{"openalex":"https://openalex.org/W4405219773","doi":"https://doi.org/10.1109/tvt.2024.3515083"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3515083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3515083","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.06414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079878817","display_name":"Junhe Zhang","orcid":"https://orcid.org/0000-0003-0343-0340"},"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":"Junhe Zhang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042930332","display_name":"Wanli Ni","orcid":"https://orcid.org/0000-0003-0436-2685"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Ni","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100764278","display_name":"Dongyu Wang","orcid":"https://orcid.org/0000-0001-6751-3589"},"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":"Dongyu Wang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079878817"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.745,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86447175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"74","issue":"4","first_page":"6850","last_page":"6855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9803000092506409,"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":0.9666000008583069,"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/quantization","display_name":"Quantization (signal processing)","score":0.6573386788368225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5849668979644775},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4999561309814453},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4888445734977722},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4515421390533447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43542158603668213},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.353610634803772},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2702098786830902},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23411670327186584}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6573386788368225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5849668979644775},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4999561309814453},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4888445734977722},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4515421390533447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43542158603668213},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.353610634803772},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2702098786830902},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23411670327186584},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2024.3515083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3515083","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2412.06414","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.06414","pdf_url":"https://arxiv.org/pdf/2412.06414","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.06414","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.06414","pdf_url":"https://arxiv.org/pdf/2412.06414","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2965862774","https://openalex.org/W2982409974","https://openalex.org/W3018102029","https://openalex.org/W3214330255","https://openalex.org/W4388145809","https://openalex.org/W4391248691","https://openalex.org/W4392251657","https://openalex.org/W6745148473","https://openalex.org/W6754416507","https://openalex.org/W6756436328","https://openalex.org/W6768511045","https://openalex.org/W6779409229","https://openalex.org/W6805406045","https://openalex.org/W6839423864","https://openalex.org/W6863039891"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W4229439743"],"abstract_inverted_index":{"As":[0],"a":[1,16,37,68],"paradigm":[2],"of":[3,25,123,135],"distributed":[4],"machine":[5],"learning,":[6],"federated":[7,46],"learning":[8,48],"typically":[9],"requires":[10],"all":[11],"edge":[12,33,55,80],"devices":[13,34,56,81],"to":[14,93,102,110,118],"train":[15],"complete":[17],"model":[18,61,86],"locally.":[19],"However,":[20],"with":[21],"the":[22,29,54,58,75,84,103,107,120,124,131,136],"increasing":[23],"scale":[24],"artificial":[26],"intelligence":[27],"models,":[28],"limited":[30],"resources":[31],"on":[32,78],"often":[35],"become":[36],"bottleneck":[38],"for":[39],"efficient":[40],"fine-tuning.":[41],"To":[42],"address":[43],"this":[44,64],"challenge,":[45],"split":[47,108],"(FedSL)":[49],"implements":[50],"collaborative":[51],"training":[52,76],"across":[53],"and":[57,88,133],"server":[59],"through":[60],"splitting.":[62],"In":[63],"paper,":[65],"we":[66,98],"propose":[67],"lightweight":[69,138],"FedSL":[70,139],"scheme,":[71],"that":[72],"further":[73],"alleviates":[74],"burden":[77],"resource-constrained":[79],"by":[82],"pruning":[83],"client-side":[85],"dynamicly":[87],"using":[89],"quantized":[90],"gradient":[91],"updates":[92],"reduce":[94,111],"computation":[95],"overhead.":[96,113],"Additionally,":[97],"apply":[99],"random":[100],"dropout":[101],"activation":[104],"values":[105],"at":[106],"layer":[109],"communication":[112],"We":[114],"conduct":[115],"theoretical":[116],"analysis":[117],"quantify":[119],"convergence":[121],"performance":[122],"proposed":[125,137],"scheme.":[126],"Finally,":[127],"simulation":[128],"results":[129],"verify":[130],"effectiveness":[132],"advantages":[134],"in":[140],"wireless":[141],"network":[142],"environments.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2024-12-11T00:00:00"}