{"id":"https://openalex.org/W4389474004","doi":"https://doi.org/10.1109/tpds.2023.3340707","title":"Distributed Semi-Supervised Learning With Consensus Consistency on Edge Devices","display_name":"Distributed Semi-Supervised Learning With Consensus Consistency on Edge Devices","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4389474004","doi":"https://doi.org/10.1109/tpds.2023.3340707"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2023.3340707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2023.3340707","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Parallel and Distributed Systems","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/A5091770003","display_name":"Hao-Rui Chen","orcid":"https://orcid.org/0009-0008-9382-4864"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao-Rui Chen","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-9382-4864","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050067325","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-8732-3675"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8732-3675","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019726320","display_name":"Xinglin Zhang","orcid":"https://orcid.org/0000-0003-2592-6945"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinglin Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2592-6945","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020156280","display_name":"Jiaxing Shen","orcid":"https://orcid.org/0000-0002-0833-0288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaxing Shen","raw_affiliation_strings":["Department of Computing and Decision Sciences, Lingnan University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-0833-0288","affiliations":[{"raw_affiliation_string":"Department of Computing and Decision Sciences, Lingnan University, Hong Kong","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740023","display_name":"Jiannong Cao","orcid":"https://orcid.org/0000-0002-2725-2529"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiannong Cao","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2725-2529","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":0.525,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73715518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"35","issue":"2","first_page":"310","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9865999817848206,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7922582030296326},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7615776062011719},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6853206753730774},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6215258836746216},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5957284569740295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5381674766540527},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.47250235080718994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4649089276790619},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.453308641910553},{"id":"https://openalex.org/keywords/data-consistency","display_name":"Data consistency","score":0.41288843750953674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32684046030044556},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.141801118850708},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07731658220291138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922582030296326},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7615776062011719},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6853206753730774},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6215258836746216},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5957284569740295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5381674766540527},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.47250235080718994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4649089276790619},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.453308641910553},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.41288843750953674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32684046030044556},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.141801118850708},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07731658220291138},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2023.3340707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2023.3340707","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2979071180","display_name":null,"funder_award_id":"2020A1515011496","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G3928869049","display_name":"\u534f\u4f5c\u5f0f\u8fb9\u7f18\u8ba1\u7b97\u4e2d\u7f51\u7edc\u611f\u77e5\u7684\u4efb\u52a1\u8c03\u5ea6\u6280\u672f\u7814\u7a76","funder_award_id":"61972161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7299380755","display_name":null,"funder_award_id":"62372185","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"},{"id":"https://openalex.org/F4320328618","display_name":"Lingnan University","ror":"https://ror.org/0563pg902"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2112796928","https://openalex.org/W2114109296","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2750384547","https://openalex.org/W2807006176","https://openalex.org/W2808139377","https://openalex.org/W2949003697","https://openalex.org/W3021676282","https://openalex.org/W3026202797","https://openalex.org/W3035682985","https://openalex.org/W3045736930","https://openalex.org/W3118608800","https://openalex.org/W3141518839","https://openalex.org/W3174231090","https://openalex.org/W3200614013","https://openalex.org/W4210490391","https://openalex.org/W4225482284","https://openalex.org/W4285601468","https://openalex.org/W4312462223","https://openalex.org/W6638523607","https://openalex.org/W6677919164","https://openalex.org/W6678975374","https://openalex.org/W6680748266","https://openalex.org/W6681588610","https://openalex.org/W6703116779","https://openalex.org/W6717772578","https://openalex.org/W6728757088","https://openalex.org/W6733814495","https://openalex.org/W6740154879","https://openalex.org/W6743688258","https://openalex.org/W6748632073","https://openalex.org/W6752029299","https://openalex.org/W6759238902","https://openalex.org/W6762913911","https://openalex.org/W6764051988","https://openalex.org/W6765939562","https://openalex.org/W6771787070","https://openalex.org/W6773005947","https://openalex.org/W6776563290","https://openalex.org/W6784232266","https://openalex.org/W6784239669","https://openalex.org/W6785449543","https://openalex.org/W6787972765","https://openalex.org/W6788603650","https://openalex.org/W6797119129","https://openalex.org/W6797253510","https://openalex.org/W6802864417"],"related_works":["https://openalex.org/W2386805970","https://openalex.org/W2308026613","https://openalex.org/W2379416403","https://openalex.org/W2901600492","https://openalex.org/W2165253724","https://openalex.org/W1985571776","https://openalex.org/W2769374332","https://openalex.org/W2971748376","https://openalex.org/W2403946900","https://openalex.org/W2349091876"],"abstract_inverted_index":{"Distributed":[0,66],"learning":[1],"has":[2],"been":[3],"increasingly":[4],"studied":[5],"in":[6],"edge":[7,10,31],"computing,":[8],"enabling":[9],"devices":[11,32],"to":[12,48,53,70,123,133,147],"learn":[13,71],"a":[14,62,87],"model":[15,146],"collaboratively":[16,73],"without":[17],"exchanging":[18],"their":[19],"private":[20,27,42,76,91],"data.":[21],"However,":[22],"existing":[23],"approaches":[24],"assume":[25],"the":[26,37,100,116,141,144,161],"data":[28,43,80,93,112],"owned":[29],"by":[30,94,113],"are":[33,44],"all":[34,165],"labeled":[35,77],"while":[36],"reality":[38],"is":[39],"that":[40],"massive":[41],"unlabeled":[45,79,92,111],"and":[46,78,139],"remain":[47],"be":[49,148],"utilized,":[50],"which":[51],"leads":[52],"suboptimal":[54],"performance.":[55],"To":[56],"overcome":[57],"this":[58],"limitation,":[59],"we":[60],"study":[61],"new":[63],"practical":[64],"problem,":[65],"Semi-Supervised":[67],"Learning":[68],"(DSSL),":[69],"models":[72,103],"with":[74,99,126,136,150],"mixed":[75],"on":[81,96,167],"each":[82,97],"device.":[83],"We":[84],"also":[85],"propose":[86],"novel":[88],"methodDistMatchthat":[89],"exploits":[90],"self-training":[95,125],"device":[98],"help":[101],"of":[102,118,143],"from":[104],"neighboring":[105],"devices.":[106],"DistMatch":[107,129],"generates":[108],"pseudo-labels":[109,135],"for":[110],"properly":[114],"averaging":[115],"predictions":[117],"these":[119,151],"received":[120],"models.":[121],"Furthermore,":[122],"avoid":[124],"wrong":[127],"pseudo-labels,":[128],"proposes":[130],"aconsensus":[131],"consistencyloss":[132],"filter":[134],"high":[137],"consensus":[138],"force":[140],"output":[142],"trained":[145],"consistent":[149],"pseudo-labels.":[152],"Extensive":[153],"evaluation":[154],"results":[155],"via":[156],"our":[157],"self-developed":[158],"testbed":[159],"indicate":[160],"proposed":[162],"method":[163],"outperforms":[164],"baselines":[166],"commonly":[168],"used":[169],"image":[170],"classification":[171],"benchmark":[172],"datasets.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}