{"id":"https://openalex.org/W2989253922","doi":"https://doi.org/10.23919/apnoms.2019.8893114","title":"Blockchain-based Node-aware Dynamic Weighting Methods for Improving Federated Learning Performance","display_name":"Blockchain-based Node-aware Dynamic Weighting Methods for Improving Federated Learning Performance","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2989253922","doi":"https://doi.org/10.23919/apnoms.2019.8893114","mag":"2989253922"},"language":"en","primary_location":{"id":"doi:10.23919/apnoms.2019.8893114","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apnoms.2019.8893114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)","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/A5009050130","display_name":"You Jun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"You Jun Kim","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,17104","Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034052371","display_name":"Choong Seon Hong","orcid":"https://orcid.org/0000-0003-3484-7333"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong Seon Hong","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,17104","Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,17104","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009050130"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":7.802,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.97843199,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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":0.9995999932289124,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9502000212669373,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.854870080947876},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.67494136095047},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6456395983695984},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6031721830368042},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5876916646957397},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5683140158653259},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5668497085571289},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5167421698570251},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.48901280760765076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4536705017089844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.441182017326355},{"id":"https://openalex.org/keywords/learning-network","display_name":"Learning network","score":0.43756672739982605},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4342602491378784},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3912058472633362},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3115454912185669},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09701839089393616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.854870080947876},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.67494136095047},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6456395983695984},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6031721830368042},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5876916646957397},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5683140158653259},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5668497085571289},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5167421698570251},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.48901280760765076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4536705017089844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.441182017326355},{"id":"https://openalex.org/C2987015589","wikidata":"https://www.wikidata.org/wiki/Q1040098","display_name":"Learning network","level":2,"score":0.43756672739982605},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4342602491378784},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3912058472633362},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3115454912185669},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09701839089393616},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apnoms.2019.8893114","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apnoms.2019.8893114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2541884796","https://openalex.org/W2767547957","https://openalex.org/W2907683311","https://openalex.org/W2912813006","https://openalex.org/W4248175462","https://openalex.org/W4318619660"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W1707372784","https://openalex.org/W2096006843"],"abstract_inverted_index":{"Federated":[0],"learning":[1,6,18,27,75,85,95,142,165],"(FL)":[2],"is":[3,64],"a":[4,50,103],"decentralized":[5],"method":[7],"that":[8,185],"deviated":[9],"from":[10],"the":[11,26,32,47,57,61,66,111,125,131,137,150,172],"conventional":[12],"centralized":[13],"learning.":[14],"The":[15,181],"FL":[16],"progresses":[17],"locally":[19],"on":[20,140,153],"each":[21,99,145,157],"device":[22],"and":[23,46,71,96,114,167],"gradually":[24],"improves":[25],"model":[28,67],"through":[29],"interaction":[30],"with":[31,73,178,193],"central":[33],"server.":[34],"However,":[35],"it":[36,107],"can":[37,88,97,108],"cause":[38],"network":[39,62],"overload":[40],"because":[41],"of":[42,49,53,56,121,127,144,156,174],"limited":[43],"communication":[44],"bandwidth":[45],"participation":[48,154],"huge":[51],"number":[52],"users.":[54],"One":[55],"ways":[58],"to":[59,68,92,123,170,201],"minimize":[60],"load":[63],"for":[65,129,197],"converge":[69],"rapidly":[70],"stably":[72],"target":[74],"accuracy.":[76],"In":[77,105],"this":[78],"paper,":[79],"we":[80,135,148],"propose":[81],"blockchain":[82],"based":[83,139,152],"federated":[84],"scenario.":[86],"Blockchain":[87],"efficiently":[89],"induce":[90],"users":[91],"participate":[93],"in":[94],"separate":[98],"participating":[100],"user":[101],"as":[102],"`node'.":[104],"addition,":[106],"be":[109],"pursued":[110],"integrity,":[112],"stability,":[113],"so":[115],"on.":[116],"We":[117,159],"consider":[118,136,149],"two":[119,161],"types":[120],"weights":[122],"choose":[124,160],"subset":[126],"clients":[128],"updating":[130],"global":[132],"model.":[133],"First,":[134],"weight":[138,151],"local":[141],"accuracy":[143,199],"client.":[146,158],"Second,":[147],"frequency":[155],"key":[162],"performance":[163,173],"indicators,":[164],"speed":[166],"standard":[168],"deviation,":[169],"compare":[171],"our":[175,186],"proposed":[176,187],"scheme":[177,188],"existing":[179],"schemes.":[180],"simulation":[182],"results":[183],"show":[184],"achieves":[189],"higher":[190],"stability":[191],"along":[192],"fast":[194],"convergence":[195],"time":[196],"targeted":[198],"compared":[200],"others.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":12}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
