{"id":"https://openalex.org/W4407826110","doi":"https://doi.org/10.1109/tits.2025.3540519","title":"Clustered Federated Learning With Adaptive Pruning for 6G Edge-Intelligent Transportation","display_name":"Clustered Federated Learning With Adaptive Pruning for 6G Edge-Intelligent Transportation","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4407826110","doi":"https://doi.org/10.1109/tits.2025.3540519"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3540519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3540519","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5013387285","display_name":"Shoupeng Lu","orcid":"https://orcid.org/0009-0003-3674-7800"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shoupeng Lu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108822640","display_name":"Hao Yin","orcid":"https://orcid.org/0000-0003-1181-0490"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yin","raw_affiliation_strings":["School of Software Engineering, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102979882","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0003-3366-2396"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["School of Software Engineering, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028331004","display_name":"Tianli Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianli Zhu","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050167068","display_name":"Cheng Dai","orcid":"https://orcid.org/0000-0003-2860-4589"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Dai","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050487083","display_name":"Shengxin Dai","orcid":"https://orcid.org/0000-0003-3266-0487"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxin Dai","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022121427","display_name":"Bing Guo","orcid":"https://orcid.org/0000-0002-0679-4601"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Guo","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5013387285"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"],"apc_list":null,"apc_paid":null,"fwci":8.5798,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96769835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"26","issue":"10","first_page":"17790","last_page":"17799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.982699990272522,"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":0.982699990272522,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9273999929428101,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.90829998254776,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.7166504859924316},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6625205874443054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.626131534576416},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5632280111312866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4191368520259857},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33637234568595886},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32976406812667847},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22471004724502563},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.22131061553955078}],"concepts":[{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.7166504859924316},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6625205874443054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.626131534576416},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5632280111312866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4191368520259857},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33637234568595886},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32976406812667847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22471004724502563},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.22131061553955078},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3540519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3540519","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3274016533","display_name":null,"funder_award_id":"62202319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2977090839","https://openalex.org/W3091635927","https://openalex.org/W3194668998","https://openalex.org/W3198283894","https://openalex.org/W4206683212","https://openalex.org/W4225537085","https://openalex.org/W4281753687","https://openalex.org/W4285211764","https://openalex.org/W4289546285","https://openalex.org/W4309794509","https://openalex.org/W4312950667","https://openalex.org/W4382317695","https://openalex.org/W4386918966","https://openalex.org/W4387105517","https://openalex.org/W4389104738","https://openalex.org/W4390017926","https://openalex.org/W4390956094","https://openalex.org/W4391936116","https://openalex.org/W4392904674","https://openalex.org/W4400770731","https://openalex.org/W4401506939","https://openalex.org/W4401726555","https://openalex.org/W4401870871","https://openalex.org/W4402039942","https://openalex.org/W4402124607","https://openalex.org/W4402891861"],"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":{"The":[0],"upcoming":[1],"6G":[2,32],"technology,":[3],"with":[4,95],"its":[5],"high":[6],"speed":[7],"and":[8,51,83,125,149],"low":[9],"latency,":[10],"is":[11],"poised":[12],"to":[13,49,92,116],"become":[14],"a":[15,66,109],"foundational":[16],"technology":[17],"for":[18],"intelligent":[19],"transportation":[20],"systems.":[21],"To":[22,59],"handle":[23],"the":[24,76,101],"massive":[25],"data":[26,50,81,97,104],"generated":[27],"by":[28],"connected":[29],"vehicles":[30],"in":[31,145],"environments,":[33],"federated":[34,42,71],"learning":[35,43,72,147],"methods":[36,144],"are":[37],"essential.":[38],"However,":[39],"traditional":[40,142],"centralized":[41,88],"approaches":[44],"still":[45],"face":[46],"challenges":[47],"related":[48],"device":[52,123,130],"heterogeneity,":[53],"which":[54,128],"significantly":[55],"affects":[56],"training":[57],"efficiency.":[58],"address":[60],"these":[61],"challenges,":[62],"we":[63,86,107],"propose":[64],"FedCPC,":[65],"context-based":[67],"adaptive":[68],"pruning":[69,119],"clustered":[70],"method.":[73],"Based":[74],"on":[75,122,135],"positive":[77],"correlation":[78],"between":[79],"similar":[80,96],"distributions":[82],"model":[84],"representations,":[85],"use":[87],"kernel":[89],"alignment":[90],"(CKA)":[91],"group":[93],"clients":[94],"distributions,":[98],"thus":[99],"reducing":[100],"impact":[102],"of":[103],"heterogeneity.":[105],"Furthermore,":[106],"introduce":[108],"context-aware":[110],"random":[111],"forest":[112],"multi-armed":[113],"bandit":[114],"method":[115],"determine":[117],"appropriate":[118],"rates":[120],"based":[121],"capabilities":[124],"historical":[126],"performance":[127],"addresses":[129],"heterogeneity":[131],"concerns.":[132],"Experimental":[133],"results":[134],"open-source":[136],"datasets":[137],"demonstrate":[138],"that":[139],"FedCPC":[140],"outperforms":[141],"FL":[143],"both":[146],"efficiency":[148],"communication":[150],"effectiveness.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
