{"id":"https://openalex.org/W3201423600","doi":"https://doi.org/10.1109/jsait.2022.3157797","title":"On Distributed Learning With Constant Communication Bits","display_name":"On Distributed Learning With Constant Communication Bits","publication_year":2022,"publication_date":"2022-03-01","ids":{"openalex":"https://openalex.org/W3201423600","doi":"https://doi.org/10.1109/jsait.2022.3157797","mag":"3201423600"},"language":"en","primary_location":{"id":"doi:10.1109/jsait.2022.3157797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2022.3157797","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"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 Journal on Selected Areas in Information Theory","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/A5054043281","display_name":"Xiangxiang Xu","orcid":"https://orcid.org/0000-0002-4178-0934"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxiang Xu","raw_affiliation_strings":["Data Science and Information Technology Research Center, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4178-0934","affiliations":[{"raw_affiliation_string":"Data Science and Information Technology Research Center, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088293566","display_name":"Shao\u2010Lun Huang","orcid":"https://orcid.org/0000-0003-2827-4022"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao-Lun Huang","raw_affiliation_strings":["Data Science and Information Technology Research Center, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2827-4022","affiliations":[{"raw_affiliation_string":"Data Science and Information Technology Research Center, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210114105"],"apc_list":null,"apc_paid":null,"fwci":0.6184,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63597692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":"1","first_page":"125","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9990000128746033,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9990000128746033,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9966999888420105,"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/coding","display_name":"Coding (social sciences)","score":0.6438623666763306},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.6134366989135742},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5719162821769714},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.5576427578926086},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5503461360931396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49846363067626953},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.46509993076324463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4646793007850647},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.460788369178772},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4464053809642792},{"id":"https://openalex.org/keywords/coding-theory","display_name":"Coding theory","score":0.4391494691371918},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.39969974756240845},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3664714992046356},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3070698082447052},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09422221779823303},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08694770932197571},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07971662282943726}],"concepts":[{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6438623666763306},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.6134366989135742},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5719162821769714},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.5576427578926086},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5503461360931396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49846363067626953},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.46509993076324463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4646793007850647},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.460788369178772},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4464053809642792},{"id":"https://openalex.org/C113709454","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Coding theory","level":2,"score":0.4391494691371918},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.39969974756240845},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3664714992046356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3070698082447052},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09422221779823303},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08694770932197571},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07971662282943726},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsait.2022.3157797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2022.3157797","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"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 Journal on Selected Areas in Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2015485856","display_name":null,"funder_award_id":"KQTD20170810150821146","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G3043234225","display_name":null,"funder_award_id":"2021YFA0715202","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W135467536","https://openalex.org/W1541329568","https://openalex.org/W1549664537","https://openalex.org/W1974086310","https://openalex.org/W1990676004","https://openalex.org/W1990844093","https://openalex.org/W1994846830","https://openalex.org/W2014031743","https://openalex.org/W2021547642","https://openalex.org/W2059120410","https://openalex.org/W2071851353","https://openalex.org/W2099111195","https://openalex.org/W2112905930","https://openalex.org/W2157579481","https://openalex.org/W2540346763","https://openalex.org/W2541884796","https://openalex.org/W2554621424","https://openalex.org/W2769131234","https://openalex.org/W2914560440","https://openalex.org/W2956860241","https://openalex.org/W2963910607","https://openalex.org/W2969387877","https://openalex.org/W2976334775","https://openalex.org/W2983400533","https://openalex.org/W2993330478","https://openalex.org/W3012125688","https://openalex.org/W3080370748","https://openalex.org/W3137681841","https://openalex.org/W3197309915","https://openalex.org/W3200588467","https://openalex.org/W3216443224","https://openalex.org/W4250589301","https://openalex.org/W4251448448","https://openalex.org/W4301258660","https://openalex.org/W4302366875","https://openalex.org/W6728757088"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2504004674","https://openalex.org/W2063982682","https://openalex.org/W2338543196","https://openalex.org/W1544691147"],"abstract_inverted_index":{"In":[0,40,95],"this":[1],"paper,":[2],"we":[3,15,43,77,97,152],"study":[4],"a":[5,31,37,74,79],"distributed":[6,18,25,170],"learning":[7,171],"problem":[8,22],"constrained":[9,28],"by":[10],"constant":[11,32],"communication":[12,190],"bits.":[13,71],"Specifically,":[14],"consider":[16,57],"the":[17,50,58,69,83,99,108,125,132,139,143,159,174],"hypothesis":[19],"testing":[20],"(DHT)":[21],"where":[23],"two":[24],"nodes":[26,113,126,144],"are":[27,145],"to":[29,36,48,56,68],"transmit":[30,115,128],"number":[33],"of":[34,61,91,124,142],"bits":[35],"central":[38],"decoder.":[39],"such":[41,73],"settings,":[42],"show":[44,98],"that":[45],"in":[46,82],"order":[47],"achieve":[49],"optimal":[51,100],"error":[52,92,102,183],"exponents,":[53],"it":[54],"suffices":[55],"empirical":[59],"distributions":[60],"observed":[62],"data":[63],"sequences":[64],"and":[65,86,104,131,173],"encode":[66],"them":[67],"transmission":[70],"With":[72],"coding":[75,105],"strategy,":[76],"develop":[78],"geometric":[80],"approach":[81,176],"distribution":[84,141],"spaces":[85],"establish":[87],"an":[88],"inner":[89],"bound":[90],"exponent":[93],"regions.":[94],"particular,":[96],"achievable":[101],"exponents":[103,184],"schemes":[106],"for":[107,157,167,181,185],"following":[109],"cases:":[110],"(i)":[111],"both":[112],"can":[114,127],"<inline-formula>":[116],"<tex-math":[117],"notation=\"LaTeX\">$\\log":[118],"_{2}3$":[119],"</tex-math></inline-formula>":[120],"bits;":[121],"(ii)":[122],"one":[123,149],"1":[129],"bit,":[130],"other":[133],"node":[134],"is":[135],"not":[136],"constrained;":[137],"(iii)":[138],"joint":[140],"conditionally":[146],"independent":[147],"given":[148],"hypothesis.":[150],"Furthermore,":[151],"provide":[153,164],"several":[154],"numerical":[155],"examples":[156],"illustrating":[158],"theoretical":[160,165],"results.":[161],"Our":[162],"results":[163],"guidance":[166],"designing":[168],"practical":[169],"rules,":[172],"developed":[175],"also":[177],"reveals":[178],"new":[179],"potentials":[180],"establishing":[182],"DHT":[186],"with":[187],"more":[188],"general":[189],"constraints.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}