{"id":"https://openalex.org/W7125800235","doi":"https://doi.org/10.1109/tii.2026.3651272","title":"Energy-Efficient Federated Learning With Dynamic Model Pruning for Industrial IoT","display_name":"Energy-Efficient Federated Learning With Dynamic Model Pruning for Industrial IoT","publication_year":2026,"publication_date":"2026-01-27","ids":{"openalex":"https://openalex.org/W7125800235","doi":"https://doi.org/10.1109/tii.2026.3651272"},"language":null,"primary_location":{"id":"doi:10.1109/tii.2026.3651272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2026.3651272","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5124026590","display_name":"Guangsheng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangsheng Chen","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123892081","display_name":"Fangyu Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyu Sun","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0006-4752-1358","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123952880","display_name":"Weitao Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitao Zou","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-2834-4289","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124033759","display_name":"Chao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1932-7698","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123939236","display_name":"Yipeng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yipeng Zhou","raw_affiliation_strings":["School of Computing, FSE, Macquarie University, Macquarie Park, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1533-0865","affiliations":[{"raw_affiliation_string":"School of Computing, FSE, Macquarie University, Macquarie Park, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123971938","display_name":"Moule Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Moule Lin","raw_affiliation_strings":["School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0001-6227-2392","affiliations":[{"raw_affiliation_string":"School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123895288","display_name":"Peng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123896260","display_name":"Linkang Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linkang Geng","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0009-3960-5414","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123975612","display_name":"Lei Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Fan","raw_affiliation_strings":["School of Computer Science and Engineering, UNSW Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9472-7152","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, UNSW Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123947323","display_name":"Weipeng Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weipeng Jing","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-7933-6946","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09708447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"5","first_page":"3693","last_page":"3704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.560699999332428,"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":0.560699999332428,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.10570000112056732,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.06319999694824219,"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/pruning","display_name":"Pruning","score":0.7985000014305115},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5889000296592712},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5566999912261963},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.54830002784729},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45019999146461487},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4424000084400177},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4154999852180481},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4059000015258789}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7985000014305115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937999963760376},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5889000296592712},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5566999912261963},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.54830002784729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45649999380111694},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45019999146461487},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4440999925136566},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4424000084400177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4300999939441681},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4059000015258789},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4018000066280365},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.385699987411499},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29409998655319214},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2026.3651272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2026.3651272","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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":0.8954399824142456}],"awards":[{"id":"https://openalex.org/G4553793485","display_name":null,"funder_award_id":"32271865","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G951615453","display_name":null,"funder_award_id":"2572023CT16","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0,228],"the":[1,4,33,62,71,78,81,108,133,145,152,163,169,184,189,197,203,221],"advent":[2],"of":[3,51,65,155,173,188,199],"Industry":[5],"4.0":[6],"era,":[7],"Federated":[8],"Learning":[9],"(FL)":[10],"provides":[11],"robust":[12],"data":[13,73],"privacy":[14],"protection":[15],"for":[16,48,102,136],"smart":[17],"manufacturing":[18],"and":[19,30,35,60,74,120,186,201,208],"supply":[20],"chain":[21],"optimization,":[22],"while":[23,167,241],"facilitating":[24],"collaborative":[25],"intelligent":[26],"optimization":[27],"across":[28,91,224],"enterprises":[29],"devices.":[31,69],"However,":[32],"complex":[34],"overparameterized":[36],"deep":[37],"neural":[38],"networks":[39],"used":[40],"in":[41,44,77,83,140,159,175,191],"FL":[42,66],"result":[43],"significant":[45],"computational":[46,89],"overhead":[47],"Industrial":[49],"Internet":[50],"Things":[52],"(IIoT)":[53],"devices,":[54],"leading":[55],"to":[56,106,112,149,151],"low":[57],"energy":[58,84,171,237],"efficiency":[59,85,90,121],"hindering":[61],"practical":[63],"deployment":[64],"on":[67,231],"IIoT":[68,79],"Moreover,":[70],"widespread":[72],"device":[75],"heterogeneity":[76],"exacerbates":[80],"decrease":[82],"caused":[86],"by":[87,122,239],"inconsistent":[88],"nodes.":[92],"This":[93,130],"article":[94],"proposes":[95],"an":[96],"energy-efficient":[97],"dynamic":[98,125,181],"model":[99,190],"pruning":[100,126,134,146,182,206],"method":[101,219],"FL,":[103],"named":[104],"EDPrune-FL,":[105],"address":[107],"aforementioned":[109],"challenges.":[110],"Compared":[111],"existing":[113],"methods,":[114],"this":[115],"approach":[116,235],"offers":[117],"greater":[118],"flexibility":[119],"utilizing":[123],"a":[124,211],"rate":[127,135],"allocation":[128],"mechanism.":[129],"mechanism":[131],"updates":[132],"each":[137],"participating":[138],"client":[139],"every":[141],"communication":[142],"round,":[143],"allowing":[144],"upper":[147],"bound":[148],"adapt":[150],"varying":[153],"importance":[154],"different":[156],"learning":[157],"stages":[158],"FL.":[160],"EDPrune-FL":[161,200],"ensures":[162],"global":[164],"model\u2019s":[165],"performance":[166],"reducing":[168],"training":[170],"consumption":[172,238],"clients":[174],"heterogeneous":[176,192],"environments.":[177],"To":[178],"guarantee":[179],"that":[180,217],"maintains":[183],"stability":[185],"effectiveness":[187],"environments,":[193],"we":[194],"also":[195],"demonstrated":[196],"convergence":[198],"discussed":[202],"relationship":[204],"between":[205],"rates":[207],"convergence,":[209],"providing":[210],"qualitative":[212],"analysis.":[213],"Experimental":[214],"results":[215],"demonstrate":[216],"our":[218,234],"outperforms":[220],"state-of-the-art":[222],"technique":[223],"four":[225],"real-world":[226],"datasets.":[227],"tests":[229],"conducted":[230],"100":[232],"clients,":[233],"reduces":[236],"10%":[240],"maintaining":[242],"comparable":[243],"accuracy.":[244]},"counts_by_year":[],"updated_date":"2026-05-08T13:12:06.581006","created_date":"2026-01-28T00:00:00"}
