{"id":"https://openalex.org/W3205260830","doi":"https://doi.org/10.1109/jsac.2021.3118352","title":"Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach","display_name":"Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach","publication_year":2021,"publication_date":"2021-10-10","ids":{"openalex":"https://openalex.org/W3205260830","doi":"https://doi.org/10.1109/jsac.2021.3118352","mag":"3205260830"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2021.3118352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3118352","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":["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/A5101707934","display_name":"Weiting Zhang","orcid":"https://orcid.org/0000-0002-7473-2234"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiting Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071654735","display_name":"Dong Yang","orcid":"https://orcid.org/0000-0003-3402-3668"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Yang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074854979","display_name":"Wen Wu","orcid":"https://orcid.org/0000-0002-0458-1282"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wen Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102864216","display_name":"Haixia Peng","orcid":"https://orcid.org/0000-0001-7206-4706"},"institutions":[{"id":"https://openalex.org/I59897056","display_name":"California State University, Long Beach","ror":"https://ror.org/0080fxk18","country_code":"US","type":"education","lineage":["https://openalex.org/I59897056"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haixia Peng","raw_affiliation_strings":["Department of Computer Engineering and the Department of Computer Science, California State University Long Beach, Long Beach, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and the Department of Computer Science, California State University Long Beach, Long Beach, CA, USA","institution_ids":["https://openalex.org/I59897056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404886","display_name":"Ning Zhang","orcid":"https://orcid.org/0000-0002-8781-4925"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ning Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091713195","display_name":"Hongke Zhang","orcid":"https://orcid.org/0000-0001-8906-813X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongke Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773343","display_name":"Xuemin Shen","orcid":"https://orcid.org/0000-0002-4140-287X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xuemin Shen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101707934"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":28.4121,"has_fulltext":false,"cited_by_count":285,"citation_normalized_percentile":{"value":0.99749333,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"39","issue":"12","first_page":"3688","last_page":"3703"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9984999895095825,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9977999925613403,"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":0.8981139659881592},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5501782894134521},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5214399695396423},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.41579902172088623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3295750617980957},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2390650510787964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8981139659881592},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5501782894134521},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5214399695396423},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.41579902172088623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3295750617980957},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2390650510787964},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.2021.3118352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2021.3118352","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G4427393552","display_name":null,"funder_award_id":"2018YFB1702000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8260795663","display_name":null,"funder_award_id":"61771040","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/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W2112796928","https://openalex.org/W2322821746","https://openalex.org/W2511779597","https://openalex.org/W2541884796","https://openalex.org/W2781726626","https://openalex.org/W2811266402","https://openalex.org/W2936643080","https://openalex.org/W2955338161","https://openalex.org/W2963318081","https://openalex.org/W2963759574","https://openalex.org/W2968764495","https://openalex.org/W2969525674","https://openalex.org/W2970759804","https://openalex.org/W2974170798","https://openalex.org/W2974178109","https://openalex.org/W2979035384","https://openalex.org/W2981096252","https://openalex.org/W2989120265","https://openalex.org/W2999074226","https://openalex.org/W2999562137","https://openalex.org/W3006403513","https://openalex.org/W3008684691","https://openalex.org/W3010301175","https://openalex.org/W3015636663","https://openalex.org/W3032998286","https://openalex.org/W3045027907","https://openalex.org/W3045638580","https://openalex.org/W3046101409","https://openalex.org/W3047304572","https://openalex.org/W3090615085","https://openalex.org/W3092302056","https://openalex.org/W3105099026","https://openalex.org/W3105649577","https://openalex.org/W3110381504","https://openalex.org/W3110690001","https://openalex.org/W3122584441","https://openalex.org/W3131030483","https://openalex.org/W3160663003","https://openalex.org/W3171303096","https://openalex.org/W3180000121","https://openalex.org/W4299802797","https://openalex.org/W4318619660","https://openalex.org/W6681017033","https://openalex.org/W6728757088","https://openalex.org/W6738796088","https://openalex.org/W6747473740"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2390279801","https://openalex.org/W2625093826","https://openalex.org/W4391913857","https://openalex.org/W2358668433"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,42,120,172],"aim":[4],"to":[5,49,163,190,227],"make":[6,207],"the":[7,58,64,69,73,99,117,127,143,147,154,165,192,195,208,224,233,240],"best":[8],"joint":[9],"decision":[10],"of":[11,30,129,146],"device":[12,210,218],"selection":[13,211],"and":[14,16,72,107,110,115,137,153,212,247],"computing":[15,109],"spectrum":[17,111],"resource":[18,213],"allocation":[19,214],"for":[20,97,113],"optimizing":[21],"federated":[22],"learning":[23],"(FL)":[24],"performance":[25,250],"in":[26,61],"distributed":[27],"industrial":[28,65],"Internet":[29],"Things":[31],"(IIoT)":[32],"networks.":[33],"To":[34,102],"implement":[35],"efficient":[36,245],"FL":[37,47,85,95,131,148,246],"over":[38],"geographically":[39],"dispersed":[40,60],"data,":[41],"introduce":[43],"a":[44,89,93,122,174,217],"three-layer":[45],"collaborative":[46],"architecture":[48],"support":[50],"deep":[51,186],"neural":[52],"network":[53],"(DNN)":[54],"training.":[55],"Specifically,":[56,194],"using":[57],"data":[59],"IIoT":[62],"devices,":[63],"gateways":[66],"locally":[67],"train":[68],"DNN":[70],"model":[71,118],"local":[74],"models":[75],"can":[76,205,243],"be":[77],"aggregated":[78],"by":[79,88],"their":[80],"associated":[81],"edge":[82,202],"servers":[83],"every":[84,92],"epoch":[86],"or":[87],"cloud":[90],"server":[91],"few":[94],"epochs":[96],"obtaining":[98],"global":[100],"model.":[101],"optimally":[103],"select":[104],"participating":[105],"devices":[106],"allocate":[108],"resources":[112],"training":[114],"transmitting":[116],"parameters,":[119],"formulate":[121],"stochastic":[123],"optimization":[124,169],"problem":[125,166],"with":[126,252],"objective":[128,144],"minimizing":[130],"evaluating":[132,149],"loss":[133,150],"while":[134,230],"satisfying":[135],"delay":[136],"long-term":[138],"energy":[139,155],"consumption":[140,156],"requirements.":[141],"Since":[142],"function":[145],"is":[151,157,161,198,221],"implicit":[152],"temporally":[158],"correlated,":[159],"it":[160],"difficult":[162],"solve":[164,191],"via":[167],"traditional":[168],"methods.":[170],"Thus,":[171],"propose":[173],"\u201c":[175],"<italic":[176],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[177],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Reinforcement":[178],"on":[179,185],"Federated</i>":[180],"\u201d":[181],"(RoF)":[182],"scheme,":[183],"based":[184],"multi-agent":[187],"reinforcement":[188],"learning,":[189],"problem.":[193],"RoF":[196,225,241],"scheme":[197,226,242],"executed":[199],"decentralizedly":[200],"at":[201],"servers,":[203],"which":[204],"cooperatively":[206],"optimal":[209],"decisions.":[215],"Moreover,":[216],"refinement":[219],"subroutine":[220],"embedded":[222],"into":[223],"accelerate":[228],"convergence":[229],"effectively":[231],"saving":[232],"on-device":[234],"energy.":[235],"Simulation":[236],"results":[237],"demonstrate":[238],"that":[239],"facilitate":[244],"achieve":[248],"better":[249],"compared":[251],"state-of-the-art":[253],"benchmarks.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":74},{"year":2024,"cited_by_count":94},{"year":2023,"cited_by_count":62},{"year":2022,"cited_by_count":42},{"year":2021,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}