{"id":"https://openalex.org/W4411949593","doi":"https://doi.org/10.1109/iwcmc65282.2025.11059617","title":"Training-Oriented Data Chunking and Transmission Method for Federated Learning in 6G Scenarios","display_name":"Training-Oriented Data Chunking and Transmission Method for Federated Learning in 6G Scenarios","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4411949593","doi":"https://doi.org/10.1109/iwcmc65282.2025.11059617"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc65282.2025.11059617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc65282.2025.11059617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Wireless Communications and Mobile Computing (IWCMC)","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/A5041512790","display_name":"Xuyang Yao","orcid":"https://orcid.org/0000-0001-7063-7646"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuyang Yao","raw_affiliation_strings":["China Telecommunications Co., Ltd,China Telecom Research Institude,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Telecommunications Co., Ltd,China Telecom Research Institude,Beijing,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041512790"],"corresponding_institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18357357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"847","last_page":"852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.831481397151947},{"id":"https://openalex.org/keywords/chunking","display_name":"Chunking (psychology)","score":0.6901131868362427},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5970298051834106},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5066052675247192},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5065537691116333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4855153560638428},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.46982669830322266},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4486640691757202},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13758426904678345},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08094429969787598}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.831481397151947},{"id":"https://openalex.org/C203357204","wikidata":"https://www.wikidata.org/wiki/Q1089605","display_name":"Chunking (psychology)","level":2,"score":0.6901131868362427},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5970298051834106},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5066052675247192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5065537691116333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4855153560638428},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.46982669830322266},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4486640691757202},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13758426904678345},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08094429969787598},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc65282.2025.11059617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc65282.2025.11059617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W3033403733","https://openalex.org/W3094019951","https://openalex.org/W3119680904","https://openalex.org/W3126686235","https://openalex.org/W3161976591","https://openalex.org/W3170790803","https://openalex.org/W3185634836","https://openalex.org/W3205621988","https://openalex.org/W3212941463","https://openalex.org/W4226128266","https://openalex.org/W4388191556","https://openalex.org/W4390771634","https://openalex.org/W4391936116","https://openalex.org/W4407950015"],"related_works":["https://openalex.org/W2384729545","https://openalex.org/W2198395236","https://openalex.org/W2800417007","https://openalex.org/W147604216","https://openalex.org/W2161080928","https://openalex.org/W2118525872","https://openalex.org/W4394050964","https://openalex.org/W2551249631","https://openalex.org/W4285322112","https://openalex.org/W4292794239"],"abstract_inverted_index":{"With":[0],"the":[1,13,48,59,68,95,156,170,177],"rapid":[2],"advancements":[3],"in":[4,51,70,155,173,184],"artificial":[5],"intelligence":[6],"(AI)":[7],"and":[8,17,62,73,110,118,151,160],"mobile":[9,74,88,186],"communication":[10,49,89,130,140,171],"networks,":[11],"particularly":[12],"advent":[14],"of":[15,64,98,158],"5G":[16,159],"6G,":[18],"there":[19],"is":[20],"a":[21,44,54,85,106,124,166],"growing":[22],"need":[23],"for":[24,179],"efficient":[25,150],"distributed":[26,35,153],"machine":[27],"learning":[28,154],"methods.":[29],"Federated":[30,174],"Learning":[31],"(FL),":[32],"which":[33],"enables":[34],"training":[36,146],"while":[37],"maintaining":[38],"data":[39,108,116],"privacy,":[40],"has":[41],"emerged":[42],"as":[43,58],"promising":[45,167],"solution.":[46],"However,":[47],"efficiency":[50],"FL":[52],"remains":[53],"significant":[55],"challenge,":[56],"especially":[57],"model":[60,119,145],"size":[61],"number":[63],"participants":[65],"increase.":[66],"Despite":[67],"progress":[69],"both":[71,99],"AI":[72,182],"communications,":[75],"existing":[76],"research":[77],"tends":[78],"to":[79,114,169],"focus":[80],"on":[81],"one":[82],"domain":[83],"at":[84],"time,":[86],"either":[87],"or":[90],"AI,":[91],"without":[92],"fully":[93],"leveraging":[94],"critical":[96],"features":[97],"fields.":[100],"In":[101],"this":[102],"paper,":[103],"we":[104,136],"propose":[105],"training-oriented":[107],"chunking":[109],"transmission":[111,117],"method":[112,164],"designed":[113],"parallelize":[115],"updates.":[120],"We":[121],"further":[122],"introduce":[123],"dynamic":[125],"precision":[126],"adaptation":[127],"method,":[128],"optimizing":[129],"efficiency.":[131],"Through":[132],"our":[133],"proposed":[134],"approach,":[135],"not":[137],"only":[138],"reduce":[139],"overhead":[141],"but":[142],"also":[143],"enhance":[144],"performance,":[147],"enabling":[148],"more":[149,180],"scalable":[152],"context":[157],"6G":[161],"networks.":[162,187],"The":[163],"offers":[165],"solution":[168],"bottleneck":[172],"Learning,":[175],"paving":[176],"way":[178],"effective":[181],"applications":[183],"next-generation":[185]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}