{"id":"https://openalex.org/W4221167370","doi":"https://doi.org/10.1109/lcomm.2022.3181612","title":"Vertical Federated Edge Learning With Distributed Integrated Sensing and Communication","display_name":"Vertical Federated Edge Learning With Distributed Integrated Sensing and Communication","publication_year":2022,"publication_date":"2022-06-09","ids":{"openalex":"https://openalex.org/W4221167370","doi":"https://doi.org/10.1109/lcomm.2022.3181612"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2022.3181612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3181612","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5103199630","display_name":"Peixi Liu","orcid":"https://orcid.org/0000-0002-9047-8889"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixi Liu","raw_affiliation_strings":["State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China","Shenzhen Research Institute of Big Data, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9047-8889","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004583148","display_name":"Guangxu Zhu","orcid":"https://orcid.org/0000-0001-9532-9201"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxu Zhu","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9532-9201","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091334337","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0002-9856-0115"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9856-0115","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108200040","display_name":"Wu Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Luo","raw_affiliation_strings":["State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008162410","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0002-4854-8839"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["School of Science and Engineering (SSE), the Future Network of Intelligence Institute (FNii), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4854-8839","affiliations":[{"raw_affiliation_string":"School of Science and Engineering (SSE), the Future Network of Intelligence Institute (FNii), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009164482","display_name":"Shuguang Cui","orcid":"https://orcid.org/0000-0003-2608-775X"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China","School of Science and Engineering (SSE), the Future Network of Intelligence Institute (FNii), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2608-775X","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Science and Engineering (SSE), the Future Network of Intelligence Institute (FNii), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5003,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.93742304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"26","issue":"9","first_page":"2091","last_page":"2095"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.8405845165252686},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6445564031600952},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6277497410774231},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5516225695610046},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5334753394126892},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4881065785884857},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.42680633068084717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36158907413482666},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.359146386384964},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.351590633392334},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.160462886095047},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08797633647918701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8405845165252686},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6445564031600952},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6277497410774231},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5516225695610046},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5334753394126892},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4881065785884857},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.42680633068084717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36158907413482666},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.359146386384964},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.351590633392334},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.160462886095047},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08797633647918701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2022.3181612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2022.3181612","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1212134744","display_name":null,"funder_award_id":"20210318123512002","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G4811745767","display_name":null,"funder_award_id":"U2001208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4827837223","display_name":"\u9762\u5411\u7269\u8054\u7f51\u7684\u65e0\u4eba\u673a\u65e0\u7ebf\u4f9b\u80fd\u901a\u4fe1\u7f51\u7edc\u8d44\u6e90\u4f18\u5316\u914d\u7f6e\u7814\u7a76","funder_award_id":"61871137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5092299349","display_name":null,"funder_award_id":"2022A1515010109","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5502925390","display_name":null,"funder_award_id":"62001310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5765647807","display_name":null,"funder_award_id":"2018YFB1800800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2138356751","https://openalex.org/W2563851357","https://openalex.org/W2793655483","https://openalex.org/W2912213068","https://openalex.org/W2954377489","https://openalex.org/W2979359324","https://openalex.org/W3004277316","https://openalex.org/W3015636663","https://openalex.org/W3048168663","https://openalex.org/W3083918922","https://openalex.org/W3194620979","https://openalex.org/W3214015612","https://openalex.org/W3216480070","https://openalex.org/W4207086244","https://openalex.org/W6729158060","https://openalex.org/W6782083561"],"related_works":["https://openalex.org/W4313339048","https://openalex.org/W3176734149","https://openalex.org/W3201779876","https://openalex.org/W3113627641","https://openalex.org/W2918879532","https://openalex.org/W3083220997","https://openalex.org/W2885461866","https://openalex.org/W3162654428","https://openalex.org/W2901937988","https://openalex.org/W3166603227"],"abstract_inverted_index":{"This":[0],"letter":[1],"studies":[2],"a":[3,92,137,145,151],"vertical":[4,93,161],"federated":[5],"edge":[6,28,85,112,139],"learning":[7],"(FEEL)":[8],"system":[9],"for":[10,49,64,69,96,141],"collaborative":[11,50],"objects/human":[12],"motion":[13,153],"recognition":[14,51,99,154,166],"by":[15,76],"exploiting":[16],"the":[17,58,98,102,179],"distributed":[18,27],"integrated":[19],"sensing":[20,47,72,106,122],"and":[21,38,60,73,184],"communication":[22],"(ISAC).":[23],"In":[24,108],"this":[25,88,109],"system,":[26],"devices":[29],"first":[30],"send":[31],"wireless":[32,105],"signals":[33,82],"to":[34,119,136,169,175,178],"sense":[35],"targeted":[36],"objects/human,":[37],"then":[39,134],"exchange":[40],"intermediate":[41,126],"computed":[42],"vectors":[43],"(instead":[44],"of":[45],"raw":[46],"data)":[48],"while":[52],"preserving":[53],"data":[54,74,123],"privacy.":[55],"To":[56],"boost":[57],"spectrum":[59],"hardware":[61],"utilization":[62],"efficiency":[63],"FEEL,":[65],"we":[66,90],"exploit":[67],"ISAC":[68],"both":[70],"target":[71],"exchange,":[75],"employing":[77],"dedicated":[78],"frequency-modulated":[79],"continuous-wave":[80],"(FMCW)":[81],"at":[83],"each":[84,111],"device.":[86],"Under":[87],"setup,":[89],"propose":[91],"FEEL":[94,162],"scheme":[95],"realizing":[97],"based":[100,163],"on":[101],"collected":[103],"multi-view":[104],"data.":[107],"scheme,":[110],"device":[113,140],"owns":[114],"an":[115,125,172],"individual":[116],"local":[117],"L-model":[118],"transform":[120],"its":[121],"into":[124],"vector":[127],"with":[128,171],"relatively":[129],"low":[130],"dimensions,":[131],"which":[132],"is":[133],"transmitted":[135],"coordinating":[138],"final":[142],"output":[143],"via":[144],"common":[146],"downstream":[147],"S-model.":[148],"By":[149],"considering":[150],"human":[152],"task,":[155],"experimental":[156],"results":[157],"show":[158],"that":[159],"our":[160],"approach":[164],"achieves":[165],"accuracy":[167],"up":[168,174],"98%":[170],"improvement":[173],"8%":[176],"compared":[177],"benchmarks,":[180],"including":[181],"on-device":[182],"training":[183],"horizontal":[185],"FEEL.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}