{"id":"https://openalex.org/W3015901293","doi":"https://doi.org/10.1109/icassp40776.2020.9054168","title":"Federated Learning with Quantization Constraints","display_name":"Federated Learning with Quantization Constraints","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015901293","doi":"https://doi.org/10.1109/icassp40776.2020.9054168","mag":"3015901293"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5012405763","display_name":"Nir Shlezinger","orcid":"https://orcid.org/0000-0003-2234-929X"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Nir Shlezinger","raw_affiliation_strings":["Weizmann Institute of Science,Faculty of Math and CS,Rehovot,Israel","Faculty of Math and CS, Weizmann Institute of Science, Rehovot, Israel"],"affiliations":[{"raw_affiliation_string":"Weizmann Institute of Science,Faculty of Math and CS,Rehovot,Israel","institution_ids":["https://openalex.org/I53964585"]},{"raw_affiliation_string":"Faculty of Math and CS, Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072241033","display_name":"Mingzhe Chen","orcid":"https://orcid.org/0000-0003-2570-703X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingzhe Chen","raw_affiliation_strings":["Princeton University,EE Dept.,Princeton,NJ","EE Dept., Princeton University, Princeton, NJ"],"affiliations":[{"raw_affiliation_string":"Princeton University,EE Dept.,Princeton,NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"EE Dept., Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["Weizmann Institute of Science,Faculty of Math and CS,Rehovot,Israel","Faculty of Math and CS, Weizmann Institute of Science, Rehovot, Israel"],"affiliations":[{"raw_affiliation_string":"Weizmann Institute of Science,Faculty of Math and CS,Rehovot,Israel","institution_ids":["https://openalex.org/I53964585"]},{"raw_affiliation_string":"Faculty of Math and CS, Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Princeton University,EE Dept.,Princeton,NJ","EE Dept., Princeton University, Princeton, NJ"],"affiliations":[{"raw_affiliation_string":"Princeton University,EE Dept.,Princeton,NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"EE Dept., Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]}]},{"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/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":"Shuguang Cui","raw_affiliation_strings":["Chinese University of Hong Kong,Shenzhen,China","Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong,Shenzhen,China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012405763"],"corresponding_institution_ids":["https://openalex.org/I53964585"],"apc_list":null,"apc_paid":null,"fwci":9.4668,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.9838725,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"8851","last_page":"8855"},"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":0.9995999932289124,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7473980188369751},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7335737943649292},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7277135848999023},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6120309233665466},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6098495721817017},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.5067680478096008},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4755810499191284},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.44433754682540894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4443361163139343},{"id":"https://openalex.org/keywords/data-driven","display_name":"Data-driven","score":0.44159141182899475},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43615034222602844},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4237174391746521},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4165940582752228},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20164921879768372},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17281842231750488},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.094847172498703},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.09090065956115723},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08706793189048767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7473980188369751},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7335737943649292},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7277135848999023},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6120309233665466},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6098495721817017},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.5067680478096008},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4755810499191284},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.44433754682540894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4443361163139343},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.44159141182899475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43615034222602844},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4237174391746521},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4165940582752228},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20164921879768372},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17281842231750488},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.094847172498703},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.09090065956115723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08706793189048767},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2029495080","https://openalex.org/W2040176268","https://openalex.org/W2084071523","https://openalex.org/W2099111195","https://openalex.org/W2129344187","https://openalex.org/W2134887275","https://openalex.org/W2150412388","https://openalex.org/W2151940630","https://openalex.org/W2168231600","https://openalex.org/W2210387432","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2587770880","https://openalex.org/W2606891064","https://openalex.org/W2617766261","https://openalex.org/W2769644379","https://openalex.org/W2774000609","https://openalex.org/W2784621220","https://openalex.org/W2900845709","https://openalex.org/W2913570153","https://openalex.org/W2919115771","https://openalex.org/W2960833983","https://openalex.org/W2963300197","https://openalex.org/W2963803379","https://openalex.org/W2964004663","https://openalex.org/W2970349268","https://openalex.org/W2975156709","https://openalex.org/W2975749214","https://openalex.org/W3038028469","https://openalex.org/W3090615085","https://openalex.org/W3101036738","https://openalex.org/W3103802018","https://openalex.org/W4229574485","https://openalex.org/W4251333191","https://openalex.org/W4297687186","https://openalex.org/W4300427714","https://openalex.org/W4300840296","https://openalex.org/W4318619660","https://openalex.org/W6684859321","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6738460352","https://openalex.org/W6746200960","https://openalex.org/W6746839373","https://openalex.org/W6747855403","https://openalex.org/W6759226220","https://openalex.org/W6767131848","https://openalex.org/W6768256413","https://openalex.org/W6786061324"],"related_works":["https://openalex.org/W1990646304","https://openalex.org/W2100492357","https://openalex.org/W3193872944","https://openalex.org/W1805748654","https://openalex.org/W2106346348","https://openalex.org/W3148658660","https://openalex.org/W1559148705","https://openalex.org/W2002093688","https://openalex.org/W3033664100","https://openalex.org/W3015901293"],"abstract_inverted_index":{"Traditional":[0],"deep":[1],"learning":[2,33,42,64],"models":[3,43,130],"are":[4],"trained":[5,129],"on":[6],"centralized":[7],"servers":[8],"using":[9,114],"labeled":[10,53],"sample":[11],"data":[12,18],"collected":[13],"from":[14,116],"edge":[15],"devices.":[16],"This":[17],"often":[19],"includes":[20],"private":[21,52],"information,":[22],"which":[23,158],"the":[24,46,63,71,90,102,123,171,177],"users":[25,47],"may":[26],"not":[27],"be":[28],"willing":[29],"to":[30,39,48,95],"share.":[31],"Federated":[32],"(FL)":[34],"is":[35,89,159],"an":[36],"emerging":[37],"approach":[38],"train":[40],"such":[41,141],"without":[44],"requiring":[45],"share":[49],"their":[50],"possibly":[51],"data.":[54],"In":[55,107,119],"FL,":[56],"each":[57,93],"user":[58,94],"trains":[59],"its":[60,98],"copy":[61],"of":[62,92,170,181],"model":[65,100],"locally.":[66],"The":[67],"server":[68],"then":[69],"collects":[70],"individual":[72],"updates":[73],"and":[74,134,162],"aggregates":[75],"them":[76],"into":[77],"a":[78,136,154],"global":[79],"model.":[80],"A":[81],"major":[82],"challenge":[83,113],"that":[84,145],"arises":[85],"in":[86],"this":[87,108,112],"method":[88],"need":[91],"efficiently":[96],"transmit":[97],"learned":[99],"over":[101,131,184],"throughput":[103],"limited":[104],"uplink":[105],"channel.":[106],"work,":[109],"we":[110,121],"tackle":[111],"tools":[115],"quantization":[117,138,149,189],"theory.":[118],"particular,":[120],"identify":[122],"unique":[124],"characteristics":[125],"associated":[126],"with":[127,151,186],"conveying":[128],"rate-constrained":[132],"channels,":[133],"characterize":[135],"suitable":[137],"scheme":[139,183],"for":[140],"setups.":[142],"We":[143,164],"show":[144],"combining":[146],"universal":[147],"vector":[148],"methods":[150],"FL":[152,185],"yields":[153],"decentralized":[155],"training":[156],"system,":[157],"both":[160],"efficient":[161],"feasible.":[163],"also":[165],"derive":[166],"theoretical":[167],"performance":[168,179],"guarantees":[169],"system.":[172],"Our":[173],"numerical":[174],"results":[175],"illustrate":[176],"substantial":[178],"gains":[180],"our":[182],"previously":[187],"proposed":[188],"approaches.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":12}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
