{"id":"https://openalex.org/W4414198605","doi":"https://doi.org/10.1109/jiot.2025.3606800","title":"Communication-Efficient Federated Learning With Dataset Condensation for Vision Tasks","display_name":"Communication-Efficient Federated Learning With Dataset Condensation for Vision Tasks","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4414198605","doi":"https://doi.org/10.1109/jiot.2025.3606800"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3606800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3606800","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/A5006230248","display_name":"Jun Ma","orcid":"https://orcid.org/0000-0001-6406-0772"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Ma","raw_affiliation_strings":["Department of Control Science and Engineering, and the State Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai, China","Department of Control Science and Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, and the State Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006206015","display_name":"Qi Kang","orcid":"https://orcid.org/0000-0001-7128-6913"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Kang","raw_affiliation_strings":["Department of Control Science and Engineering, and the State Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai, China","Department of Control Science and Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7128-6913","affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, and the State Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080766889","display_name":"Kefan Wang","orcid":"https://orcid.org/0000-0002-1051-1002"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kefan Wang","raw_affiliation_strings":["Department of Control Science and Engineering, and the State Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai, China","Department of Control Science and Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, and the State Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruijing Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruijing Sun","raw_affiliation_strings":["Department of Control Science and Engineering, and the State Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai, China","Department of Control Science and Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, and the State Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Control Science and Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["ECE Department, New Jersey Institute of Technology, Newark, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-5408-8752","affiliations":[{"raw_affiliation_string":"ECE Department, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"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":0.11445487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"23","first_page":"50053","last_page":"50066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9740999937057495,"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/T11448","display_name":"Face recognition and analysis","score":0.9539999961853027,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/forgetting","display_name":"Forgetting","score":0.7742999792098999},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6818000078201294},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6334999799728394},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4805000126361847},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.38370001316070557},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.3562000095844269},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.35260000824928284},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.3463999927043915}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.866100013256073},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7742999792098999},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6818000078201294},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6334999799728394},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4805000126361847},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3725999891757965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36070001125335693},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3174999952316284},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C101780184","wikidata":"https://www.wikidata.org/wiki/Q840576","display_name":"Dissemination","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3606800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3606800","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/G6212086944","display_name":null,"funder_award_id":"23ZR1466000","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G7426158572","display_name":null,"funder_award_id":"2021-cyxt2-kj10","funder_id":"https://openalex.org/F4320330207","funder_display_name":"Shanghai Aerospace Science and Technology Innovation Foundation"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320330207","display_name":"Shanghai Aerospace Science and Technology Innovation Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2007339694","https://openalex.org/W2027595342","https://openalex.org/W2473418344","https://openalex.org/W2995022099","https://openalex.org/W3021654819","https://openalex.org/W3182158470","https://openalex.org/W3185359994","https://openalex.org/W4205581758","https://openalex.org/W4225130530","https://openalex.org/W4226101686","https://openalex.org/W4292387244","https://openalex.org/W4312412605","https://openalex.org/W4312604241","https://openalex.org/W4319300193","https://openalex.org/W4360995247","https://openalex.org/W4367359689","https://openalex.org/W4385819638","https://openalex.org/W4386072282","https://openalex.org/W4386075560","https://openalex.org/W4387790227","https://openalex.org/W4388145440","https://openalex.org/W4388145633","https://openalex.org/W4390908058","https://openalex.org/W4391305696","https://openalex.org/W4391468254","https://openalex.org/W4392251657","https://openalex.org/W4393147801","https://openalex.org/W4393405492","https://openalex.org/W4399168337","https://openalex.org/W4399995632","https://openalex.org/W4400047176","https://openalex.org/W4400409839","https://openalex.org/W4400680366","https://openalex.org/W4401536914","https://openalex.org/W4402351499","https://openalex.org/W4402703097","https://openalex.org/W4403918211","https://openalex.org/W4405022709","https://openalex.org/W4405103859","https://openalex.org/W4406614722"],"related_works":[],"abstract_inverted_index":{"Internet":[0],"of":[1,14,53,118],"Things":[2],"(IoT)":[3],"devices":[4],"are":[5,188],"widely":[6],"distributed":[7],"with":[8,40,108],"large":[9],"and":[10,17,24,42,66,91,124],"scattered":[11],"data,":[12],"risk":[13],"privacy":[15],"leakage":[16],"high":[18],"bandwidth":[19],"cost":[20],"make":[21],"data":[22,143,150],"transmission":[23],"aggregation":[25,80,90],"impractical.":[26],"Federated":[27,106],"Learning":[28,107],"(FL)":[29],"is":[30,51],"an":[31],"important":[32],"privacy-preserving":[33],"multi-party":[34],"learning":[35,39],"paradigm,":[36],"involving":[37],"collaborative":[38,154],"others":[41],"local":[43,76,122,142,159],"updating":[44],"based":[45],"on":[46,149,200],"private":[47],"data.":[48],"Data":[49],"heterogeneity":[50,73],"one":[52],"the":[54,72,83,95,116,128,172,197],"main":[55],"challenges":[56],"in":[57,94,127],"FL":[58,103],"scenarios,":[59],"which":[60],"can":[61],"greatly":[62],"limit":[63],"FLs":[64],"applicability":[65],"performance.":[67],"Most":[68],"existing":[69],"approaches":[70],"tackle":[71],"challenge":[74],"during":[75],"training":[77,176],"or":[78],"model":[79,89],"while":[81],"ignoring":[82],"performance":[84],"drop":[85],"caused":[86],"by":[87,177],"direct":[88],"catastrophic":[92,125],"forgetting":[93,126],"global":[96,129,174],"model.":[97,130],"This":[98],"work":[99,133,170],"proposes":[100,134],"a":[101,135],"novel":[102],"approach,":[104],"called":[105],"Dataset":[109],"Condensation":[110],"(FedDC).":[111],"It":[112,152],"aims":[113],"to":[114,140,157,161],"relieve":[115],"issue":[117],"knowledge":[119,155],"discrepancy":[120],"among":[121],"models":[123,160,175],"Specifically,":[131],"this":[132,169],"differential":[136],"distribution":[137],"matching":[138],"method":[139],"summarize":[141],"for":[144],"each":[145],"client":[146],"without":[147],"compromising":[148],"privacy.":[151],"introduces":[153],"distillation":[156],"encourage":[158],"learn":[162],"from":[163,181],"others.":[164],"To":[165],"mitigate":[166],"interround":[167],"forgetting,":[168],"stabilizes":[171],"averaged":[173],"leveraging":[178],"auxiliary":[179],"information":[180],"its":[182],"immediately":[183],"past":[184],"one.":[185],"Extensive":[186],"experiments":[187],"conducted.":[189],"The":[190],"results":[191],"show":[192],"that":[193],"FedDC":[194],"significantly":[195],"outperforms":[196],"state-ofthe-art":[198],"methods":[199],"various":[201],"vision":[202],"tasks.":[203]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
