{"id":"https://openalex.org/W3211285385","doi":"https://doi.org/10.1109/pimrc50174.2021.9569716","title":"Energy-Efficient Federated Learning Framework for Digital Twin-Enabled Industrial Internet of Things","display_name":"Energy-Efficient Federated Learning Framework for Digital Twin-Enabled Industrial Internet of Things","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3211285385","doi":"https://doi.org/10.1109/pimrc50174.2021.9569716","mag":"3211285385"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc50174.2021.9569716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc50174.2021.9569716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5100608008","display_name":"Jiaxiang Zhang","orcid":"https://orcid.org/0000-0002-8954-9256"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxiang Zhang","raw_affiliation_strings":["State Key Laboratory of Networking and Switch Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switch Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449904","display_name":"Yiming Liu","orcid":"https://orcid.org/0000-0001-8824-4007"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Liu","raw_affiliation_strings":["State Key Laboratory of Networking and Switch Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switch Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091040593","display_name":"Xiaoqi Qin","orcid":"https://orcid.org/0000-0002-5788-0657"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqi Qin","raw_affiliation_strings":["State Key Laboratory of Networking and Switch Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switch Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061030501","display_name":"Xiaodong Xu","orcid":"https://orcid.org/0000-0003-4245-5989"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Xu","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100608008"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":2.0396,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89197799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1160","last_page":"1166"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9952999949455261,"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/T13553","display_name":"Age of Information Optimization","score":0.9890000224113464,"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/computer-science","display_name":"Computer science","score":0.807666540145874},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7014874815940857},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6226609945297241},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5538594722747803},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4967716336250305},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4885900616645813},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4819040596485138},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4300159811973572},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.41688984632492065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35346198081970215},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11502698063850403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11473116278648376},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09310021996498108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807666540145874},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7014874815940857},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6226609945297241},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5538594722747803},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4967716336250305},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4885900616645813},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4819040596485138},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4300159811973572},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.41688984632492065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35346198081970215},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11502698063850403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11473116278648376},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09310021996498108},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc50174.2021.9569716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc50174.2021.9569716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2115211925","https://openalex.org/W2145339207","https://openalex.org/W2173564293","https://openalex.org/W2904573081","https://openalex.org/W2951799221","https://openalex.org/W2974175488","https://openalex.org/W2999472659","https://openalex.org/W3002159761","https://openalex.org/W3011576217","https://openalex.org/W3024699729","https://openalex.org/W3045027907","https://openalex.org/W3095540342","https://openalex.org/W3102535235","https://openalex.org/W3108426412","https://openalex.org/W4300972769","https://openalex.org/W6677067356","https://openalex.org/W6685444567","https://openalex.org/W6756832365","https://openalex.org/W6786273364"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102","https://openalex.org/W179829755"],"abstract_inverted_index":{"The":[0,38],"digital":[1,10,74],"twin":[2],"(DT)":[3],"bridges":[4],"the":[5,9,15,32,46,58,61,69,73,80,104,129,135,156,167,172,176,180,202,211,216],"physical":[6],"world":[7,11],"with":[8,210],"in":[12,57,72,91,134],"real-time":[13],"for":[14,29,100],"Industrial":[16],"Internet":[17],"of":[18,34,40,48,64,138,151,175,219],"Things":[19],"(IIoT)":[20],"and":[21,67,82,161],"federated":[22],"learning":[23,192],"(FL)":[24],"enables":[25],"edge":[26],"intelligence":[27,54],"services":[28],"IIoT":[30,107],"under":[31],"premise":[33],"avoiding":[35],"privacy":[36],"leakage.":[37],"fusion":[39],"two":[41],"technologies":[42],"can":[43,83],"extremely":[44],"accelerate":[45],"development":[47],"Industry":[49],"4.0":[50],"by":[51,76,132],"enabling":[52],"instant":[53],"services.":[55],"However,":[56],"resource-constrained":[59],"IIoT,":[60],"energy":[62,168,207],"consumption":[63,169,208],"performing":[65],"FL":[66,98],"maintaining":[68],"virtual":[70,130],"object":[71,131],"space":[75],"DT":[77,133],"technology":[78],"become":[79],"bottlenecks":[81],"not":[84],"be":[85],"ignored.":[86],"To":[87],"address":[88],"these":[89],"issues,":[90],"this":[92],"paper,":[93],"we":[94,154,187],"proposed":[95,105,203],"an":[96],"energy-efficient":[97,120],"framework":[99,204,213],"DT-enabled":[101],"IIoT.":[102],"In":[103],"framework,":[106],"devices":[108],"choose":[109],"different":[110],"training":[111,158,177],"methods":[112],"considering":[113],"dynamic":[114],"time-varying":[115],"environment":[116],"status":[117],"to":[118,128,144,165,195],"achieve":[119],"FL,":[121],"i.e.,":[122],"either":[123],"train":[124,145],"locally":[125],"or":[126],"connect":[127],"corresponding":[136],"server":[137],"a":[139,189],"small":[140],"base":[141],"station":[142],"(SBS)":[143],"mapped":[146],"data":[147],"using":[148,184],"computing":[149],"resources":[150],"SBS.":[152],"Then,":[153],"investigate":[155],"joint":[157],"method":[159],"selection":[160],"resource":[162],"allocation":[163],"problem":[164,181],"minimize":[166],"while":[170,214],"satisfying":[171,215],"convergence":[173,217],"rate":[174,218],"model.":[178],"Considering":[179],"is":[182],"intractable":[183],"traditional":[185],"approaches,":[186],"use":[188],"deep":[190],"reinforcement":[191],"(DRL)-based":[193],"algorithm":[194],"solve":[196],"it.":[197],"Simulation":[198],"results":[199],"show":[200],"that":[201],"decreases":[205],"greatly":[206],"compared":[209],"static":[212],"FL.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}