{"id":"https://openalex.org/W4410118152","doi":"https://doi.org/10.1109/tccn.2025.3567096","title":"Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks","display_name":"Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks","publication_year":2025,"publication_date":"2025-05-06","ids":{"openalex":"https://openalex.org/W4410118152","doi":"https://doi.org/10.1109/tccn.2025.3567096"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2025.3567096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3567096","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5059696783","display_name":"Yuzhi Zhou","orcid":"https://orcid.org/0000-0002-6374-618X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuzhi Zhou","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034028474","display_name":"Yaru Fu","orcid":"https://orcid.org/0000-0002-6139-7414"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaru Fu","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070982416","display_name":"Zheng Shi","orcid":"https://orcid.org/0000-0003-3531-9217"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Shi","raw_affiliation_strings":["School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061641468","display_name":"Howard H. Yang","orcid":"https://orcid.org/0000-0002-0256-2416"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Howard H. Yang","raw_affiliation_strings":["Zhejiang University/University of Illinois Urbana Champaign Institute, Zhejiang University, Haining, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University/University of Illinois Urbana Champaign Institute, Zhejiang University, Haining, China","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051376589","display_name":"Kevin Hung","orcid":"https://orcid.org/0000-0002-5421-7622"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kevin Hung","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456327","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-8561-5092"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Department of Informatics, University of Oslo, Oslo, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059696783"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7137,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9425014,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"743","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9937000274658203,"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":0.9937000274658203,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9793999791145325,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8274620771408081},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5455769896507263},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4179401695728302},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39703306555747986},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32276904582977295},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20807504653930664},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10396254062652588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274620771408081},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5455769896507263},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4179401695728302},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39703306555747986},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32276904582977295},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20807504653930664},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10396254062652588},{"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/tccn.2025.3567096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3567096","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7839574859","display_name":null,"funder_award_id":"62201504","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1751687266","https://openalex.org/W2194775991","https://openalex.org/W2615926310","https://openalex.org/W2962766183","https://openalex.org/W2963060851","https://openalex.org/W2963529010","https://openalex.org/W2965636349","https://openalex.org/W2985563585","https://openalex.org/W3025029677","https://openalex.org/W3044626808","https://openalex.org/W3058760796","https://openalex.org/W3080667742","https://openalex.org/W3090615085","https://openalex.org/W3095540342","https://openalex.org/W3099938772","https://openalex.org/W3123221209","https://openalex.org/W3188326818","https://openalex.org/W3188569078","https://openalex.org/W3191845986","https://openalex.org/W3212539584","https://openalex.org/W4205228899","https://openalex.org/W4211067533","https://openalex.org/W4250589301","https://openalex.org/W4250658187","https://openalex.org/W4285260612","https://openalex.org/W4288773268","https://openalex.org/W4312318759","https://openalex.org/W4318624560","https://openalex.org/W4324290859","https://openalex.org/W4361305999","https://openalex.org/W4362514030","https://openalex.org/W4382203268","https://openalex.org/W4386275635","https://openalex.org/W4386275648","https://openalex.org/W4386275784","https://openalex.org/W4386275787","https://openalex.org/W4386275820","https://openalex.org/W4386275843","https://openalex.org/W4387490262","https://openalex.org/W4389105099","https://openalex.org/W4389960968","https://openalex.org/W4391547580","https://openalex.org/W4392450883","https://openalex.org/W4400877774","https://openalex.org/W4402300333","https://openalex.org/W4402508647","https://openalex.org/W4402592855","https://openalex.org/W4403360863","https://openalex.org/W4404035560","https://openalex.org/W4408324240"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"digital":[1,43,67,132],"twin":[2,44,68,153],"edge":[3],"network":[4],"(DITEN)":[5],"is":[6,51,123],"a":[7,64,75,90],"significant":[8],"paradigm":[9],"in":[10,54],"the":[11,24,31,34,37,95,99,106,117,127,131,137,142,157,172],"sixth-generation":[12],"wireless":[13],"system":[14],"(6G)":[15],"that":[16,166,178],"aims":[17],"to":[18,22,93,103,124],"organize":[19],"well-developed":[20],"infrastructures":[21],"meet":[23],"requirements":[25],"of":[26,33,66,98,130],"evolving":[27],"application":[28],"scenarios.":[29],"However,":[30],"impact":[32],"interaction":[35],"between":[36],"long-term":[38,143],"DITEN":[39,144],"maintenance":[40],"and":[41,70,136,152],"detailed":[42],"tasks,":[45],"which":[46],"often":[47],"entail":[48],"privacy":[49],"considerations,":[50],"commonly":[52],"overlooked":[53],"current":[55],"research.":[56],"This":[57],"paper":[58],"addresses":[59],"this":[60,84],"issue":[61],"by":[62,88,141],"introducing":[63,89],"problem":[65],"association":[69],"historical":[71],"data":[72,107,128,150],"allocation":[73],"for":[74,171],"federated":[76],"learning":[77,164],"(FL)":[78],"task":[79,135],"within":[80],"DITEN.":[81],"To":[82,155],"achieve":[83],"goal,":[85],"we":[86,110,160],"start":[87],"closed-form":[91],"function":[92],"predict":[94],"training":[96],"accuracy":[97],"FL":[100,119,134,147],"task,":[101],"referring":[102],"it":[104],"as":[105],"utility.":[108],"Subsequently,":[109],"carry":[111],"out":[112],"comprehensive":[113],"convergence":[114],"analyses":[115],"on":[116],"proposed":[118,180],"methodology.":[120],"Our":[121],"objective":[122],"jointly":[125],"optimize":[126],"utility":[129],"twin-empowered":[133],"energy":[138],"costs":[139],"incurred":[140],"maintenance,":[145],"encompassing":[146],"model":[148],"training,":[149],"synchronization,":[151],"migration.":[154],"tackle":[156],"aforementioned":[158],"challenge,":[159],"present":[161],"an":[162],"optimization-driven":[163],"algorithm":[165,181],"effectively":[167],"identifies":[168],"optimized":[169],"solutions":[170],"formulated":[173],"problem.":[174],"Numerical":[175],"results":[176],"demonstrate":[177],"our":[179],"outperforms":[182],"various":[183],"baseline":[184],"approaches.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
