{"id":"https://openalex.org/W4280636304","doi":"https://doi.org/10.1109/wcnc51071.2022.9771851","title":"Communication-Efficient Federated Learning For Massive MIMO Systems","display_name":"Communication-Efficient Federated Learning For Massive MIMO Systems","publication_year":2022,"publication_date":"2022-04-10","ids":{"openalex":"https://openalex.org/W4280636304","doi":"https://doi.org/10.1109/wcnc51071.2022.9771851"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc51071.2022.9771851","pdf_url":null,"source":{"id":"https://openalex.org/S4363607776","display_name":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5063903054","display_name":"Yuchen Mu","orcid":"https://orcid.org/0000-0003-1810-1646"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuchen Mu","raw_affiliation_strings":["School of Engineering, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008815990","display_name":"Navneet Garg","orcid":"https://orcid.org/0000-0001-8535-7663"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Navneet Garg","raw_affiliation_strings":["School of Engineering, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091847007","display_name":"Tharmalingam Ratnarajah","orcid":"https://orcid.org/0000-0002-7636-1246"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tharmalingam Ratnarajah","raw_affiliation_strings":["School of Engineering, The University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.309,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.281132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":76},"biblio":{"volume":"521","issue":null,"first_page":"578","last_page":"583"},"is_retracted":false,"is_paratext":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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.999,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.997,"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/mnist-database","display_name":"MNIST database","score":0.5984465},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.46842396}],"concepts":[{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7785296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453971},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.67145646},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6151317},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.5984465},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5694947},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.48694026},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.46842396},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4567803},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.42126232},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4033527},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37448192},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.36342028},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.26172137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2590978},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23203832},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.18381345},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14185217},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13174817},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.1108661},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.077613205},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc51071.2022.9771851","pdf_url":null,"source":{"id":"https://openalex.org/S4363607776","display_name":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.91,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"grants":[{"funder":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W2053637704","https://openalex.org/W2617766261","https://openalex.org/W2900182564","https://openalex.org/W2919115771","https://openalex.org/W2955213239","https://openalex.org/W2975156709","https://openalex.org/W2981138228","https://openalex.org/W2990530686","https://openalex.org/W2999074226","https://openalex.org/W3006919779","https://openalex.org/W3015574552","https://openalex.org/W3015901293","https://openalex.org/W3090615085","https://openalex.org/W3099980742","https://openalex.org/W3108383389","https://openalex.org/W3113491827","https://openalex.org/W3172312230","https://openalex.org/W3178176830","https://openalex.org/W4300806676","https://openalex.org/W4318619660"],"related_works":["https://openalex.org/W4365807906","https://openalex.org/W4223416141","https://openalex.org/W2546639359","https://openalex.org/W2515629000","https://openalex.org/W2287071596","https://openalex.org/W2169192185","https://openalex.org/W2157864637","https://openalex.org/W2082786467","https://openalex.org/W2013230419","https://openalex.org/W1922070205"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7,134],"(FL)":[2],"is":[3],"an":[4],"emerging":[5],"distributed":[6],"algorithm":[8,75],"where":[9],"the":[10,25,86,96],"process":[11],"of":[12,66,88],"data":[13,22,123],"acquisition":[14],"and":[15,39,49,58,91,94,105,120,139],"computation":[16],"are":[17,51,125],"decoupled":[18],"to":[19,31,53,63],"preserve":[20],"users'":[21],"privacy.":[23],"In":[24,69],"training":[26,122],"process,":[27],"model":[28],"weights":[29],"have":[30,131],"be":[32],"updated":[33],"at":[34,154],"both":[35,89,118],"base":[36],"station":[37],"(BS)":[38],"local":[40,137],"users":[41,48],"sides.":[42],"These":[43],"weights,":[44],"when":[45],"exchanged":[46],"between":[47],"BS,":[50],"subjected":[52],"imperfections":[54],"in":[55,76],"uplink":[56],"(UL)":[57],"downlink":[59],"(DL)":[60],"transmissions":[61,93],"due":[62],"limited":[64],"reliability":[65],"wireless":[67],"channels.":[68],"this":[70],"paper,":[71],"for":[72,135],"a":[73,77],"FL":[74],"single-cell":[78],"massive":[79],"MIMO":[80],"cellular":[81],"communication":[82,101],"system,":[83],"we":[84],"investigate":[85],"impacts":[87],"DL":[90],"UL":[92],"improve":[95],"communication-efficiency":[97],"by":[98],"adjusting":[99],"global":[100],"rounds,":[102],"transmit":[103,140],"power":[104],"average":[106],"codeword":[107],"length":[108],"after":[109],"quantization.":[110],"Simulation":[111],"results":[112,130],"on":[113],"standard":[114],"MNIST":[115],"dataset":[116],"with":[117],"i.i.d":[119],"non-i.i.d":[121],"distributions":[124],"also":[126],"presented.":[127],"Our":[128],"simulation":[129],"shown":[132],"accelerated":[133],"various":[136],"steps":[138],"power.":[141],"The":[142],"network":[143],"energy":[144],"consumption":[145],"has":[146],"been":[147],"reduced":[148],"while":[149],"achieving":[150],"similar":[151],"testing":[152],"accuracy":[153],"higher":[155],"iterations.":[156]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4280636304","counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-01-21T22:39:26.944230","created_date":"2022-05-22"}