{"id":"https://openalex.org/W3203929423","doi":"https://doi.org/10.1109/jsac.2021.3118415","title":"Communication-Efficient Federated Learning With Binary Neural Networks","display_name":"Communication-Efficient Federated Learning With Binary Neural Networks","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3203929423","doi":"https://doi.org/10.1109/jsac.2021.3118415","mag":"3203929423"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2021.3118415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3118415","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Communications","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2110.02226","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuzhi Yang","orcid":"https://orcid.org/0000-0003-2454-1904"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuzhi Yang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","International Joint Innovation Center, Zhejiang University, Haining, China","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking (IPCAN), Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"International Joint Innovation Center, Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking (IPCAN), Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaoyang Zhang","orcid":"https://orcid.org/0000-0003-2346-6228"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyang Zhang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","International Joint Innovation Center, Zhejiang University, Haining, China","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking (IPCAN), Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"International Joint Innovation Center, Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking (IPCAN), Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Qianqian Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Yang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","International Joint Innovation Center, Zhejiang University, Haining, China","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking (IPCAN), Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"International Joint Innovation Center, Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking (IPCAN), Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":5.5983,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.96568919,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"39","issue":"12","first_page":"3836","last_page":"3850"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9387999773025513,"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":0.9387999773025513,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.006500000134110451,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.004100000020116568,"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/bottleneck","display_name":"Bottleneck","score":0.8043000102043152},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.660099983215332},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.6064000129699707},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.59579998254776},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5612999796867371},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5547999739646912},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4810999929904938},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.44699999690055847},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4318999946117401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9083999991416931},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8043000102043152},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.660099983215332},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.6064000129699707},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.59579998254776},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5612999796867371},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5547999739646912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49140000343322754},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4810999929904938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46880000829696655},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.44699999690055847},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4318999946117401},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.42989999055862427},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4108000099658966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3635999858379364},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.3521000146865845},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.3499999940395355},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3310999870300293},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.26600000262260437},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25870001316070557}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jsac.2021.3118415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3118415","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Communications","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2110.02226","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.02226","pdf_url":"https://arxiv.org/pdf/2110.02226","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2110.02226","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.02226","pdf_url":"https://arxiv.org/pdf/2110.02226","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1561785553","display_name":null,"funder_award_id":"61725104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2083864830","display_name":null,"funder_award_id":"2020YFB1807101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4140924936","display_name":null,"funder_award_id":"61631003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6610172906","display_name":null,"funder_award_id":"U20A20158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8162852627","display_name":null,"funder_award_id":"2018YFB1801104","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2116612304","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2535838896","https://openalex.org/W2552857149","https://openalex.org/W2606891064","https://openalex.org/W2963318081","https://openalex.org/W2963422939","https://openalex.org/W2965341441","https://openalex.org/W3111009493","https://openalex.org/W4230429009","https://openalex.org/W6631190155","https://openalex.org/W6639703010","https://openalex.org/W6684583874","https://openalex.org/W6693397755","https://openalex.org/W6695838908","https://openalex.org/W6714058667","https://openalex.org/W6728975057","https://openalex.org/W6746200960","https://openalex.org/W6748089513","https://openalex.org/W6756756286","https://openalex.org/W6760157594","https://openalex.org/W6763181277","https://openalex.org/W6763621396","https://openalex.org/W6767781694","https://openalex.org/W6771536673"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1,7],"(FL)":[2],"is":[3,182],"a":[4,16,28,34,59,104,125,220],"privacy-preserving":[5],"machine":[6],"setting":[8,82],"that":[9,47,137,153,187],"enables":[10],"many":[11],"devices":[12],"to":[13,23,27,90,119,198],"jointly":[14],"train":[15],"shared":[17],"global":[18],"model":[19],"without":[20,145],"the":[21,38,42,45,49,74,80,85,92,112,116,120,132,139,142,146,158,161,165,169,174,178,188,194,199,208,213],"need":[22],"reveal":[24],"their":[25],"data":[26],"central":[29],"server.":[30,121],"However,":[31],"FL":[32,63,81,106,190],"involves":[33],"frequent":[35],"exchange":[36],"of":[37,84,108,141,148,160,180],"parameters":[39,118,152],"between":[40],"all":[41],"clients":[43,113],"and":[44,95,207],"server":[46],"coordinates":[48],"training.":[50],"This":[51],"introduces":[52],"extensive":[53],"communication":[54,66,195],"overhead,":[55],"which":[56,177],"can":[57,215],"be":[58,216],"major":[60],"bottleneck":[61],"in":[62,79,98,168],"with":[64,203],"limited":[65],"links.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71,171],"consider":[72],"training":[73,109,159,179],"binary":[75,117],"neural":[76,88,201],"networks":[77,89,202],"(BNNs)":[78],"instead":[83],"typical":[86,204],"real-valued":[87,150,205],"fulfill":[91],"stringent":[93],"delay":[94],"efficiency":[96],"requirement":[97],"wireless":[99],"edge":[100],"networks.":[101],"We":[102,122],"introduce":[103],"novel":[105,126],"framework":[107,191],"BNNs,":[110],"where":[111],"only":[114],"upload":[115],"also":[123],"propose":[124],"parameter":[127],"updating":[128],"scheme":[129],"based":[130],"on":[131],"Maximum":[133],"Likelihood":[134],"(ML)":[135],"estimation":[136],"preserves":[138],"performance":[140,209],"BNN":[143,181],"even":[144],"availability":[147],"aggregated":[149],"auxiliary":[151],"are":[154],"usually":[155],"needed":[156],"during":[157],"BNN.":[162],"Moreover,":[163],"for":[164],"first":[166],"time":[167],"literature,":[170],"theoretically":[172],"derive":[173],"conditions":[175],"under":[176],"converging.":[183],"Numerical":[184],"results":[185],"show":[186],"proposed":[189],"significantly":[192],"reduces":[193],"cost":[196],"compared":[197],"conventional":[200],"parameters,":[206],"loss":[210],"incurred":[211],"by":[212,219],"binarization":[214],"further":[217],"compensated":[218],"hybrid":[221],"method.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2021-10-11T00:00:00"}
