{"id":"https://openalex.org/W4221152660","doi":"https://doi.org/10.1109/twc.2022.3192550","title":"Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning","display_name":"Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning","publication_year":2022,"publication_date":"2022-07-27","ids":{"openalex":"https://openalex.org/W4221152660","doi":"https://doi.org/10.1109/twc.2022.3192550"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2022.3192550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2022.3192550","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/A5038816284","display_name":"Yinan Zou","orcid":"https://orcid.org/0000-0002-5447-299X"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Zou","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China","Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5447-299X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727972","display_name":"Zixin Wang","orcid":"https://orcid.org/0009-0007-7863-0298"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]},{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixin Wang","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China","Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385692","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0001-9943-6020"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9943-6020","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043286765","display_name":"Haibo Zhou","orcid":"https://orcid.org/0000-0002-6549-8917"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Zhou","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6549-8917","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041989556","display_name":"Yong Zhou","orcid":"https://orcid.org/0000-0002-7499-6256"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhou","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7499-6256","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6434,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95394906,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"22","issue":"1","first_page":"270","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.98089998960495,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9767000079154968,"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/computer-science","display_name":"Computer science","score":0.7962247133255005},{"id":"https://openalex.org/keywords/transceiver","display_name":"Transceiver","score":0.6596965789794922},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6157918572425842},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.543107271194458},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5383720397949219},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46355167031288147},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4601147770881653},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4387661814689636},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4383026361465454},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41086500883102417},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3302130103111267},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3260039985179901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2810574769973755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11725446581840515},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10594266653060913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962247133255005},{"id":"https://openalex.org/C7720470","wikidata":"https://www.wikidata.org/wiki/Q954187","display_name":"Transceiver","level":3,"score":0.6596965789794922},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6157918572425842},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.543107271194458},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5383720397949219},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46355167031288147},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4601147770881653},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4387661814689636},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4383026361465454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41086500883102417},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3302130103111267},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3260039985179901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2810574769973755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11725446581840515},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10594266653060913},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/twc.2022.3192550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2022.3192550","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:1783.1-167609","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-167609","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/G645405385","display_name":null,"funder_award_id":"U20A20159","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1561759234","https://openalex.org/W2140227342","https://openalex.org/W2616867685","https://openalex.org/W2897042325","https://openalex.org/W2907379776","https://openalex.org/W2908498346","https://openalex.org/W2963318081","https://openalex.org/W2964121960","https://openalex.org/W2975128548","https://openalex.org/W2981138228","https://openalex.org/W2982409974","https://openalex.org/W2992716901","https://openalex.org/W2995053006","https://openalex.org/W2999074226","https://openalex.org/W3015636663","https://openalex.org/W3041971333","https://openalex.org/W3088898206","https://openalex.org/W3089655738","https://openalex.org/W3090615085","https://openalex.org/W3093755649","https://openalex.org/W3099980742","https://openalex.org/W3108383389","https://openalex.org/W3109847748","https://openalex.org/W3110962653","https://openalex.org/W3111192549","https://openalex.org/W3111499798","https://openalex.org/W3138364951","https://openalex.org/W3167689670","https://openalex.org/W3171303096","https://openalex.org/W3174661481","https://openalex.org/W3176252472","https://openalex.org/W3188102017","https://openalex.org/W3196860475","https://openalex.org/W3202820162","https://openalex.org/W3203818865","https://openalex.org/W3204091362","https://openalex.org/W3212066104","https://openalex.org/W3212347076","https://openalex.org/W3213161637","https://openalex.org/W4200072281","https://openalex.org/W4205709614","https://openalex.org/W4226181034","https://openalex.org/W4226479888","https://openalex.org/W6728757088","https://openalex.org/W6748019269","https://openalex.org/W6754143808"],"related_works":["https://openalex.org/W2783437851","https://openalex.org/W4249165909","https://openalex.org/W1672137312","https://openalex.org/W1650483958","https://openalex.org/W4240935863","https://openalex.org/W2320869333","https://openalex.org/W1924731896","https://openalex.org/W2040472248","https://openalex.org/W1689453141","https://openalex.org/W2184749983"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,92,132],"consider":[4],"communication-efficient":[5],"over-the-air":[6,49],"federated":[7],"learning":[8,105,137,163],"(FL),":[9],"where":[10],"multiple":[11,21],"edge":[12,37],"devices":[13],"with":[14,175],"non-independent":[15],"and":[16,28,194],"identically":[17],"distributed":[18],"datasets":[19],"perform":[20],"local":[22],"iterations":[23],"in":[24,189],"each":[25],"communication":[26,83],"round":[27],"then":[29],"concurrently":[30],"transmit":[31,149],"their":[32],"updated":[33],"gradients":[34,63],"to":[35,64,97,102,114,151],"an":[36,94,110],"server":[38],"over":[39,81],"the":[40,54,58,62,66,73,76,89,99,104,116,123,141,144,148,160,170,186],"same":[41],"radio":[42],"channel":[43],"for":[44,119],"global":[45],"model":[46,77],"aggregation":[47,78],"using":[48],"computation":[50,130,179],"(AirComp).":[51],"We":[52],"derive":[53],"upper":[55,100],"bound":[56,101],"of":[57,61,68,75,143,147,191],"time-average":[59],"norm":[60],"characterize":[65],"convergence":[67,90,192],"AirComp-assisted":[69,120],"FL,":[70],"which":[71],"reveals":[72],"impact":[74],"errors":[79],"accumulated":[80],"all":[82],"rounds":[84],"on":[85,88],"convergence.":[86],"Based":[87],"analysis,":[91],"formulate":[93],"optimization":[95,112,125,172],"problem":[96],"minimize":[98],"enhance":[103],"performance,":[106],"followed":[107],"by":[108],"proposing":[109],"alternating":[111,124,171],"algorithm":[113,126,138,164],"facilitate":[115],"transceiver":[117,154],"design":[118],"FL.":[121],"As":[122],"suffers":[127],"from":[128],"high":[129],"complexity,":[131],"further":[133],"develop":[134],"a":[135,166,176],"knowledge-guided":[136,162],"that":[139,159],"exploits":[140],"structure":[142],"analytic":[145],"expression":[146],"power":[150],"achieve":[152],"computation-efficient":[153],"design.":[155],"Simulation":[156],"results":[157],"demonstrate":[158],"proposed":[161,183],"achieves":[165],"comparable":[167],"performance":[168],"as":[169],"algorithm,":[173],"but":[174],"much":[177],"lower":[178],"complexity.":[180],"Moreover,":[181],"both":[182],"algorithms":[184],"outperform":[185],"baseline":[187],"methods":[188],"terms":[190],"speed":[193],"test":[195],"accuracy.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
