{"id":"https://openalex.org/W4391838799","doi":"https://doi.org/10.1007/s40747-024-01342-1","title":"Federated two-stage decoupling with adaptive personalization layers","display_name":"Federated two-stage decoupling with adaptive personalization layers","publication_year":2024,"publication_date":"2024-02-15","ids":{"openalex":"https://openalex.org/W4391838799","doi":"https://doi.org/10.1007/s40747-024-01342-1"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01342-1","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01342-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01342-1.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01342-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054508795","display_name":"Hangyu Zhu","orcid":"https://orcid.org/0000-0001-7221-9130"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hangyu Zhu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Lihu Road, Wuxi, 214126, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Lihu Road, Wuxi, 214126, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029704280","display_name":"Yuxiang Fan","orcid":"https://orcid.org/0000-0002-0163-377X"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Fan","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Lihu Road, Wuxi, 214126, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Lihu Road, Wuxi, 214126, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085751460","display_name":"Zhenping Xie","orcid":"https://orcid.org/0000-0002-9481-9599"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenping Xie","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Lihu Road, Wuxi, 214126, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-9481-9599","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Lihu Road, Wuxi, 214126, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054508795"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.7142,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68011475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":"3","first_page":"3657","last_page":"3671"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9779000282287598,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9775000214576721,"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/decoupling","display_name":"Decoupling (probability)","score":0.8433709144592285},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.8065656423568726},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5572138428688049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5375708341598511},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5251531004905701},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2971433997154236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2415676712989807},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.17984122037887573},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1695641577243805},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.16428375244140625}],"concepts":[{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.8433709144592285},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8065656423568726},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5572138428688049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5375708341598511},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5251531004905701},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2971433997154236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2415676712989807},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.17984122037887573},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1695641577243805},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16428375244140625},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01342-1","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01342-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01342-1.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d640470f37aa4bd8a69a0fa939f25508","is_oa":true,"landing_page_url":"https://doaj.org/article/d640470f37aa4bd8a69a0fa939f25508","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3657-3671 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01342-1","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s40747-024-01342-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01342-1.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G119171554","display_name":null,"funder_award_id":"62272201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391838799.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2056716515","https://openalex.org/W2100060407","https://openalex.org/W2160709761","https://openalex.org/W2395579298","https://openalex.org/W2989289980","https://openalex.org/W3047304572","https://openalex.org/W3080934299","https://openalex.org/W3082656638","https://openalex.org/W3091635927","https://openalex.org/W3130225815","https://openalex.org/W3152412642","https://openalex.org/W3154152579","https://openalex.org/W3159623990","https://openalex.org/W3166992878","https://openalex.org/W3175663678","https://openalex.org/W3176364684","https://openalex.org/W3184514712","https://openalex.org/W3196371845","https://openalex.org/W4200631596","https://openalex.org/W4229029907","https://openalex.org/W4281753687","https://openalex.org/W4287332481","https://openalex.org/W4308350525","https://openalex.org/W4308449507","https://openalex.org/W4313643873","https://openalex.org/W4316663445","https://openalex.org/W4319865990","https://openalex.org/W4323338515","https://openalex.org/W4360980584","https://openalex.org/W4360995590","https://openalex.org/W4365791058","https://openalex.org/W6600140940","https://openalex.org/W6743119038"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2109940557","https://openalex.org/W2152950565","https://openalex.org/W2466832359","https://openalex.org/W1617565119","https://openalex.org/W160381218","https://openalex.org/W1582019636","https://openalex.org/W3172493050","https://openalex.org/W2512958550","https://openalex.org/W2390279801"],"abstract_inverted_index":{"Abstract":[0],"Federated":[1],"learning":[2,15,34,72,151],"has":[3,222],"gained":[4],"significant":[5,33],"attention":[6],"due":[7],"to":[8,12,44,64,86,125,166,178,202],"its":[9,126],"groundbreaking":[10],"ability":[11],"enable":[13],"distributed":[14,139],"while":[16],"maintaining":[17],"privacy":[18],"constraints.":[19],"However,":[20],"as":[21,81],"a":[22,101,147,195],"consequence":[23],"of":[24,48,103,121,134,189,212],"data":[25,213],"heterogeneity":[26,91],"among":[27],"decentralized":[28],"devices,":[29],"it":[30,41],"inherently":[31],"experiences":[32],"degradation":[35],"and":[36,137,169,185,228],"slow":[37],"convergence":[38],"speed.":[39],"Therefore,":[40],"is":[42,100,162,176,200],"natural":[43],"employ":[45,74],"the":[46,53,58,106,111,118,132,180,186,205],"concept":[47],"clustering":[49,161,184],"homogeneous":[50],"clients":[51],"into":[52],"same":[54],"group,":[55],"allowing":[56],"only":[57],"model":[59,76,170],"weights":[60],"within":[61,95],"each":[62,96,123],"group":[63,87],"be":[65],"aggregated.":[66],"While":[67],"most":[68],"existing":[69],"clustered":[70],"federated":[71,150],"methods":[73],"either":[75],"gradients":[77],"or":[78],"inference":[79,167],"outputs":[80,168],"metrics":[82],"for":[83,109,114,183],"client":[84,124,160],"partitioning":[85],"similar":[88],"devices":[89],"together,":[90],"may":[92],"still":[93],"exist":[94],"cluster.":[97],"Moreover,":[98],"there":[99],"scarcity":[102],"research":[104],"exploring":[105],"underlying":[107],"reasons":[108],"determining":[110],"appropriate":[112,181],"timing":[113,182],"clustering,":[115],"resulting":[116],"in":[117,131],"common":[119],"practice":[120],"assigning":[122],"own":[127],"individual":[128],"cluster,":[129],"particularly":[130],"context":[133],"highly":[135],"non-independent":[136],"identically":[138],"(Non-IID)":[140],"data.":[141,192],"In":[142,193],"this":[143],"paper,":[144],"we":[145],"introduce":[146],"two-stage":[148],"decoupling":[149],"algorithm":[152],"with":[153],"adaptive":[154],"personalization":[155,206],"layers":[156,207],"named":[157],"FedTSDP,":[158],"where":[159],"performed":[163],"twice":[164],"according":[165],"weights,":[171],"respectively.":[172],"Hopkins":[173],"amended":[174],"sampling":[175,187],"adopted":[177],"determine":[179],"weight":[188],"public":[190],"unlabeled":[191],"addition,":[194],"simple":[196],"yet":[197],"effective":[198],"approach":[199],"developed":[201],"adaptively":[203],"adjust":[204],"based":[208],"on":[209,225],"varying":[210],"degrees":[211],"skew.":[214],"Experimental":[215],"results":[216],"show":[217],"that":[218],"our":[219],"proposed":[220],"method":[221],"reliable":[223],"performance":[224],"both":[226],"IID":[227],"non-IID":[229],"scenarios.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}