{"id":"https://openalex.org/W4408323700","doi":"https://doi.org/10.1109/tccn.2025.3550359","title":"Federated Learning for Diffusion Models","display_name":"Federated Learning for Diffusion Models","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4408323700","doi":"https://doi.org/10.1109/tccn.2025.3550359"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2025.3550359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3550359","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.06426","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036466780","display_name":"Zihao Peng","orcid":"https://orcid.org/0000-0003-3108-123X"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Peng","raw_affiliation_strings":["School of Mathematics and Computer Science, Nanchang University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-3108-123X","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709597","display_name":"Xijun Wang","orcid":"https://orcid.org/0000-0003-3504-9763"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xijun Wang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3504-9763","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062618254","display_name":"Shengbo Chen","orcid":"https://orcid.org/0000-0002-9026-8128"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengbo Chen","raw_affiliation_strings":["School of Software, Nanchang University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-9026-8128","affiliations":[{"raw_affiliation_string":"School of Software, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100813758","display_name":"Hong Rao","orcid":"https://orcid.org/0000-0002-7467-7108"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Rao","raw_affiliation_strings":["School of Software, Nanchang University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-7467-7108","affiliations":[{"raw_affiliation_string":"School of Software, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016749653","display_name":"Cong Shen","orcid":"https://orcid.org/0000-0002-3148-4453"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Shen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA","Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3148-4453","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.772,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97657526,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"6","first_page":"4093","last_page":"4109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9724000096321106,"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":0.9724000096321106,"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":0.8131009340286255},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5149374604225159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3261670470237732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8131009340286255},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5149374604225159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3261670470237732},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tccn.2025.3550359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2025.3550359","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"},{"id":"pmh:oai:arXiv.org:2503.06426","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.06426","pdf_url":"https://arxiv.org/pdf/2503.06426","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.06426","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.06426","pdf_url":"https://arxiv.org/pdf/2503.06426","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1106025183","display_name":null,"funder_award_id":"No.62102133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3968185564","display_name":null,"funder_award_id":"62271513","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7376445944","display_name":null,"funder_award_id":"242300421402","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"Diffusion":[0,80],"models":[1,5,17,91,104],"are":[2,18],"powerful":[3],"generative":[4,87],"that":[6,116,194],"can":[7,48,117],"produce":[8],"highly":[9],"realistic":[10],"samples":[11],"for":[12],"various":[13],"tasks.":[14],"Typically,":[15],"these":[16],"constructed":[19],"using":[20,137,187],"centralized,":[21],"independently":[22],"and":[23,40,161,182,207],"identically":[24],"distributed":[25,36,51],"(IID)":[26],"training":[27,111,171],"data.":[28],"However,":[29],"in":[30,66],"practical":[31],"scenarios,":[32],"data":[33,52,86,115,122,147],"is":[34,64],"often":[35],"across":[37],"multiple":[38],"clients":[39],"frequently":[41],"manifests":[42],"non-IID":[43,67],"characteristics.":[44],"Federated":[45],"Learning":[46,77],"(FL)":[47],"leverage":[49],"this":[50],"to":[53,92,112,141,169],"train":[54],"diffusion":[55,90,103],"models,":[56],"but":[57],"the":[58,85,98,120,130,134,138,143,188,199,204],"performance":[59],"of":[60,89,127,145,157,178],"existing":[61],"FL":[62,110,201],"methods":[63],"unsatisfactory":[65],"scenarios.":[68],"To":[69],"address":[70],"this,":[71],"we":[72],"propose":[73,162],"<sc":[74,158,166,173],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[75,159,167,174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FedDDPM</small>\u2014Federated":[76],"with":[78],"Denoising":[79],"Probabilistic":[81],"Models,":[82],"which":[83],"leverages":[84],"capability":[88],"facilitate":[93],"model":[94,128,136,149,180],"training.":[95],"In":[96],"particular,":[97],"server":[99,131],"uses":[100],"well-trained":[101],"local":[102],"uploaded":[105],"by":[106],"each":[107,125],"client":[108],"before":[109],"generate":[113],"auxiliary":[114,139,189],"approximately":[118],"represent":[119],"global":[121,135],"distribution.":[123],"Following":[124],"round":[126],"aggregation,":[129],"further":[132],"optimizes":[133],"dataset":[140],"alleviate":[142],"impact":[144],"heterogeneous":[146],"on":[148,203],"performance.":[150],"We":[151],"provide":[152],"a":[153,184],"rigorous":[154],"convergence":[155],"analysis":[156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FedDDPM</small>":[160],"an":[163],"enhanced":[164],"algorithm,":[165],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FedDDPM+</small>,":[168],"reduce":[170],"overheads.":[172],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FedDDPM+</small>":[175],"detects":[176],"instances":[177],"slow":[179],"learning":[181],"performs":[183],"one-shot":[185],"correction":[186],"dataset.":[190],"Experimental":[191],"results":[192],"validate":[193],"our":[195],"proposed":[196],"algorithms":[197,202],"outperform":[198],"state-of-the-art":[200],"MNIST,":[205],"CIFAR10":[206],"CIFAR100":[208],"datasets.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}