{"id":"https://openalex.org/W4383503639","doi":"https://doi.org/10.1109/jiot.2023.3293230","title":"Optimal Transport-Based One-Shot Federated Learning for Artificial Intelligence of Things","display_name":"Optimal Transport-Based One-Shot Federated Learning for Artificial Intelligence of Things","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4383503639","doi":"https://doi.org/10.1109/jiot.2023.3293230"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3293230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3293230","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5045076067","display_name":"Yi-Han Chiang","orcid":"https://orcid.org/0000-0003-2850-3120"},"institutions":[{"id":"https://openalex.org/I4387152983","display_name":"Osaka Metropolitan University","ror":"https://ror.org/01hvx5h04","country_code":"JP","type":"education","lineage":["https://openalex.org/I4387152983"]},{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yi-Han Chiang","raw_affiliation_strings":["Department of Electrical and Electronic Systems Engineering, Osaka Metropolitan University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2850-3120","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Systems Engineering, Osaka Metropolitan University, Osaka, Japan","institution_ids":["https://openalex.org/I4387152983","https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113067955","display_name":"Koudai Terai","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152983","display_name":"Osaka Metropolitan University","ror":"https://ror.org/01hvx5h04","country_code":"JP","type":"education","lineage":["https://openalex.org/I4387152983"]},{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koudai Terai","raw_affiliation_strings":["Department of Electrical and Electronic Systems Engineering, Osaka Metropolitan University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Systems Engineering, Osaka Metropolitan University, Osaka, Japan","institution_ids":["https://openalex.org/I4387152983","https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088606203","display_name":"Tsung-Wei Chiang","orcid":"https://orcid.org/0000-0001-5765-8282"},"institutions":[{"id":"https://openalex.org/I4210148979","display_name":"MediaTek (Taiwan)","ror":"https://ror.org/05g9jck81","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210148979"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Wei Chiang","raw_affiliation_strings":["MediaTek Inc., Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-5765-8282","affiliations":[{"raw_affiliation_string":"MediaTek Inc., Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011665213","display_name":"Hai Lin","orcid":"https://orcid.org/0000-0002-6364-348X"},"institutions":[{"id":"https://openalex.org/I4387152983","display_name":"Osaka Metropolitan University","ror":"https://ror.org/01hvx5h04","country_code":"JP","type":"education","lineage":["https://openalex.org/I4387152983"]},{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hai Lin","raw_affiliation_strings":["Department of Electrical and Electronic Systems Engineering, Osaka Metropolitan University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6364-348X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Systems Engineering, Osaka Metropolitan University, Osaka, Japan","institution_ids":["https://openalex.org/I4387152983","https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037098061","display_name":"Yusheng Ji","orcid":"https://orcid.org/0000-0003-4364-8491"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusheng Ji","raw_affiliation_strings":["Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4364-8491","affiliations":[{"raw_affiliation_string":"Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068489266","display_name":"John C. S. Lui","orcid":"https://orcid.org/0000-0001-7466-0384"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"John C. S. Lui","raw_affiliation_strings":["Department of Computer Science Engineering, The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7466-0384","affiliations":[{"raw_affiliation_string":"Department of Computer Science Engineering, The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8458,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87907969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"2166","last_page":"2180"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9933000206947327,"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/T13553","display_name":"Age of Information Optimization","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.842150092124939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7895551919937134},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6796668171882629},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6692242622375488},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.589626133441925},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5856777429580688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5315617918968201},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45041581988334656},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4325453042984009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39788585901260376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36906012892723083},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.08183625340461731}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.842150092124939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7895551919937134},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6796668171882629},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6692242622375488},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.589626133441925},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5856777429580688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5315617918968201},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45041581988334656},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4325453042984009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39788585901260376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36906012892723083},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.08183625340461731},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3293230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3293230","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3283355249","display_name":null,"funder_award_id":"JP20H00592","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3866147928","display_name":null,"funder_award_id":"JP20K19794","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G444365306","display_name":"\u7121\u7dda\u9023\u5408\u5b66\u7fd2\u306b\u304a\u3051\u308b\u901a\u4fe1\u30fb\u8a08\u7b97\u6642\u9593\u3068\u30c7\u30fc\u30bf\u5206\u5e03\u306b\u57fa\u3065\u3044\u305f\u30b3\u30db\u30fc\u30c8\u5316\u6280\u8853\u306e\u7814\u7a76\u958b\u767a","funder_award_id":"23K16871","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6858454087","display_name":null,"funder_award_id":"JP23K16871","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8369808879","display_name":"Researches on Model-aided Learning Approaches for Reliable Realtime Control in Future Wireless Systems","funder_award_id":"20H00592","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320315724","display_name":"Kayamori Foundation of Informational Science Advancement","ror":null},{"id":"https://openalex.org/F4320323628","display_name":"Support Center for Advanced Telecommunications Technology Research Foundation","ror":"https://ror.org/03x526f83"},{"id":"https://openalex.org/F4320325763","display_name":"Telecommunications Advancement Foundation","ror":"https://ror.org/05y77zf79"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1594039573","https://openalex.org/W1686810756","https://openalex.org/W1977177161","https://openalex.org/W2112796928","https://openalex.org/W2125101937","https://openalex.org/W2744999500","https://openalex.org/W2807006176","https://openalex.org/W2900182564","https://openalex.org/W2901838001","https://openalex.org/W2917462349","https://openalex.org/W2920095265","https://openalex.org/W2962684895","https://openalex.org/W2963187488","https://openalex.org/W2963318081","https://openalex.org/W2963523817","https://openalex.org/W2963889845","https://openalex.org/W2970606380","https://openalex.org/W2975156709","https://openalex.org/W2976335444","https://openalex.org/W2989289980","https://openalex.org/W3007548213","https://openalex.org/W3015636663","https://openalex.org/W3015901293","https://openalex.org/W3016632787","https://openalex.org/W3026202797","https://openalex.org/W3034535887","https://openalex.org/W3043758338","https://openalex.org/W3047304572","https://openalex.org/W3086152015","https://openalex.org/W3090615085","https://openalex.org/W3095611529","https://openalex.org/W3109340983","https://openalex.org/W3111354327","https://openalex.org/W3156226702","https://openalex.org/W3172744943","https://openalex.org/W3192098883","https://openalex.org/W3209583897","https://openalex.org/W4213165131","https://openalex.org/W4233762729","https://openalex.org/W4289260709","https://openalex.org/W4297708031","https://openalex.org/W4298221930","https://openalex.org/W4385488764","https://openalex.org/W6610119711","https://openalex.org/W6637373629","https://openalex.org/W6682962330","https://openalex.org/W6728757088","https://openalex.org/W6737976933","https://openalex.org/W6738958611","https://openalex.org/W6745847804","https://openalex.org/W6746720608","https://openalex.org/W6748243251","https://openalex.org/W6752009368","https://openalex.org/W6752029299","https://openalex.org/W6752600739","https://openalex.org/W6756138707","https://openalex.org/W6756840679","https://openalex.org/W6759853437","https://openalex.org/W6763048141","https://openalex.org/W6768511045","https://openalex.org/W6768570320","https://openalex.org/W6769190946","https://openalex.org/W6770634426","https://openalex.org/W6772307254","https://openalex.org/W6774195376","https://openalex.org/W6779174293","https://openalex.org/W6779350450","https://openalex.org/W6780224944","https://openalex.org/W6780501606","https://openalex.org/W6782937392","https://openalex.org/W6795018396","https://openalex.org/W6841650770"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W4243305035","https://openalex.org/W1537496349","https://openalex.org/W2379407973","https://openalex.org/W2350267540"],"abstract_inverted_index":{"Federated":[0],"learning":[1,8],"(FL)":[2],"is":[3,46,76],"an":[4,25],"emerging":[5],"distributed":[6],"machine":[7],"(ML)":[9],"paradigm":[10],"in":[11],"the":[12,29,38,50,58,113,137,145,149,212,220],"Artificial":[13],"Intelligence":[14],"of":[15,40,53,61,148,189],"Things":[16],"(AIoT).":[17],"FL":[18,45,79,107],"enables":[19],"AIoT":[20,85,109,154],"devices":[21,86],"to":[22,135,143,169,199],"collaboratively":[23],"train":[24],"ML":[26],"model":[27,51,59,114,139,146,163],"on":[28,153],"network":[30],"edge,":[31],"while":[32],"protecting":[33],"data":[34,42],"privacy":[35],"and":[36,57,87,116,191],"solving":[37],"problem":[39],"isolated":[41],"islands.":[43],"Contemporary":[44],"typically":[47],"realized":[48],"through":[49],"aggregation":[52,115],"locally":[54],"trained":[55],"models":[56],"dissemination":[60,117],"a":[62,67,72,88,101,122,171,187,207],"globally":[63],"averaged":[64,178],"model;":[65],"such":[66],"procedure":[68],"iteratively":[69],"proceeds":[70],"until":[71,193],"predefined":[73],"convergence":[74,209],"criterion":[75],"met.":[77],"However,":[78],"necessitates":[80],"frequent":[81],"information":[82],"exchanges":[83],"between":[84],"parameter":[89,230],"server,":[90],"which":[91,174],"inevitably":[92],"induces":[93],"tremendous":[94],"communication":[95,124],"costs.":[96],"Therefore,":[97],"this":[98,127],"article":[99],"proposes":[100],"new":[102],"design":[103,136],"for":[104,108,211],"efficient":[105],"one-shot":[106,201,225],"systems,":[110],"so":[111],"that":[112,219],"can":[118],"be":[119,177],"completed":[120],"within":[121],"single":[123],"round.":[125],"To":[126],"end,":[128],"we":[129,205],"leverage":[130],"optimal":[131],"transport":[132],"(OT)":[133],"theory":[134],"coupled":[138],"averaging":[140,164],"(CODE)":[141],"algorithm":[142,158,184],"fuse":[144],"weights":[147],"neural":[150],"networks":[151],"(NNs)":[152],"devices.":[155],"The":[156,182],"CODE":[157,183],"initially":[159],"performs":[160],"OT-based":[161],"layer-by-layer":[162],"(MA)":[165],"over":[166],"two":[167],"NNs":[168,195],"form":[170],"fused":[172],"NN,":[173],"will":[175],"then":[176],"with":[179],"another":[180],"NN.":[181],"progressively":[185],"determines":[186],"pair":[188],"NNs,":[190],"continues":[192],"all":[194],"have":[196],"been":[197],"examined":[198],"achieve":[200],"FL.":[202],"In":[203],"addition,":[204],"provide":[206],"detailed":[208],"analysis":[210],"proposed":[213,221],"solution.":[214],"Our":[215],"simulation":[216],"results":[217],"show":[218],"solution":[222],"outperforms":[223],"other":[224],"MA":[226],"mechanisms":[227],"under":[228],"various":[229],"settings.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}