{"id":"https://openalex.org/W4389692369","doi":"https://doi.org/10.1109/twc.2023.3339824","title":"Communication-Efficient Personalized Federated Edge Learning for Massive MIMO CSI Feedback","display_name":"Communication-Efficient Personalized Federated Edge Learning for Massive MIMO CSI Feedback","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4389692369","doi":"https://doi.org/10.1109/twc.2023.3339824"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2023.3339824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3339824","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/A5083737487","display_name":"Yiming Cui","orcid":"https://orcid.org/0000-0003-1644-6499"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Cui","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1644-6499","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040161646","display_name":"Jiajia Guo","orcid":"https://orcid.org/0000-0002-6220-2295"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Guo","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6220-2295","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024436944","display_name":"Chao-Kai Wen","orcid":"https://orcid.org/0000-0001-5952-232X"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Kai Wen","raw_affiliation_strings":["Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-5952-232X","affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013079905","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Jin","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0271-6021","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3538,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90735185,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"7","first_page":"7362","last_page":"7375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976000189781189,"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":0.9976000189781189,"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":0.975600004196167,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9688000082969666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8735239505767822},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.8180049657821655},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6653167009353638},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6506422162055969},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.6191879510879517},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.56960529088974},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5409579873085022},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4609781503677368},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4328557252883911},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4165530204772949},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4145743250846863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29744622111320496},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2776380181312561},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.21398290991783142},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17083224654197693},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0764249861240387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8735239505767822},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.8180049657821655},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6653167009353638},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6506422162055969},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.6191879510879517},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.56960529088974},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5409579873085022},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4609781503677368},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4328557252883911},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4165530204772949},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4145743250846863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29744622111320496},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2776380181312561},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.21398290991783142},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17083224654197693},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0764249861240387},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/twc.2023.3339824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2023.3339824","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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-149932","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-149932","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1003364742","display_name":null,"funder_award_id":"62261160576","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1348038546","display_name":null,"funder_award_id":"MOST 111-2221-E-110-020-MY3","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G1589754466","display_name":null,"funder_award_id":"2242023 K 5003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W2023535408","https://openalex.org/W2094655360","https://openalex.org/W2113271807","https://openalex.org/W2128190945","https://openalex.org/W2194775991","https://openalex.org/W2309512289","https://openalex.org/W2403400427","https://openalex.org/W2535838896","https://openalex.org/W2886124254","https://openalex.org/W2900120080","https://openalex.org/W2914338909","https://openalex.org/W2952065976","https://openalex.org/W2963145597","https://openalex.org/W2963676935","https://openalex.org/W2975156709","https://openalex.org/W2976335444","https://openalex.org/W2981138228","https://openalex.org/W2982624119","https://openalex.org/W3003689553","https://openalex.org/W3004277316","https://openalex.org/W3004543888","https://openalex.org/W3020027015","https://openalex.org/W3038426846","https://openalex.org/W3045610411","https://openalex.org/W3059999910","https://openalex.org/W3074572758","https://openalex.org/W3080694619","https://openalex.org/W3081249107","https://openalex.org/W3101232705","https://openalex.org/W3102449016","https://openalex.org/W3108804658","https://openalex.org/W3109094166","https://openalex.org/W3112756300","https://openalex.org/W3133814152","https://openalex.org/W3139707578","https://openalex.org/W3157774958","https://openalex.org/W3162716335","https://openalex.org/W3168839105","https://openalex.org/W3172727832","https://openalex.org/W3216108359","https://openalex.org/W4205806546","https://openalex.org/W4214758645","https://openalex.org/W4294646197","https://openalex.org/W4297687186","https://openalex.org/W4312050602","https://openalex.org/W4312377485","https://openalex.org/W4312770573","https://openalex.org/W4389239786","https://openalex.org/W6728757088","https://openalex.org/W6750254146","https://openalex.org/W6755988804","https://openalex.org/W6768570320","https://openalex.org/W6774776664","https://openalex.org/W6841426115"],"related_works":["https://openalex.org/W4365807906","https://openalex.org/W2157864637","https://openalex.org/W4223416141","https://openalex.org/W2546639359","https://openalex.org/W1922070205","https://openalex.org/W2106711889","https://openalex.org/W4226210192","https://openalex.org/W2032430904","https://openalex.org/W2011751543","https://openalex.org/W2114648181"],"abstract_inverted_index":{"Deep":[0],"learning":[1,43,58],"(DL)-based":[2],"channel":[3,167],"state":[4],"information":[5],"(CSI)":[6],"feedback":[7,125,152,190],"has":[8,19],"garnered":[9],"significant":[10],"research":[11,18],"attention":[12],"in":[13,107],"recent":[14],"years.":[15],"However,":[16],"previous":[17],"overlooked":[20],"the":[21,32,55,62,68,89,111,129,139,142,162,166,176,185],"potential":[22],"privacy":[23,98],"disclosure":[24],"problem":[25],"caused":[26],"by":[27],"transmitting":[28],"CSI":[29,49,63,132,189],"datasets":[30,64,133],"during":[31],"training":[33,45,180],"process.":[34],"In":[35],"this":[36],"study,":[37],"we":[38,109,145],"introduce":[39,146],"a":[40,80,147],"federated":[41],"edge":[42],"(FEEL)-based":[44],"framework":[46,181],"for":[47,96,157],"DL-based":[48,188],"feedback.":[50],"This":[51,91,154],"approach":[52,92],"differs":[53],"from":[54],"conventional":[56],"centralized":[57],"(CL)-based":[59],"framework,":[60,144],"where":[61],"are":[65],"collected":[66],"at":[67],"base":[69],"station":[70],"(BS)":[71],"before":[72],"training.":[73],"Instead,":[74],"each":[75,170],"user":[76],"equipment":[77],"(UE)":[78],"trains":[79],"local":[81,158],"autoencoder":[82],"network":[83],"and":[84,113],"exchanges":[85],"model":[86,115,164],"parameters":[87],"with":[88],"BS.":[90],"provides":[93],"better":[94],"protection":[95],"data":[97],"compared":[99],"to":[100,150,160,165],"CL.":[101],"To":[102],"further":[103],"reduce":[104],"communication":[105,193],"overhead":[106],"FEEL,":[108],"quantize":[110],"uplink":[112],"downlink":[114],"transmission":[116],"into":[117],"different":[118,135],"bits":[119],"based":[120],"on":[121,124],"their":[122],"influence":[123],"performance.":[126,153],"Additionally,":[127],"since":[128],"heterogeneity":[130],"of":[131,141,169,187],"among":[134],"UEs":[136],"can":[137,182],"degrade":[138],"performance":[140,186],"FEEL-based":[143,179],"personalization":[148],"strategy":[149,155],"enhance":[151],"allows":[156],"fine-tuning":[159],"adapt":[161],"global":[163],"characteristics":[168],"UE.":[171],"Simulation":[172],"results":[173],"indicate":[174],"that":[175],"proposed":[177],"personalized":[178],"significantly":[183],"improve":[184],"while":[191],"reducing":[192],"overhead.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
