{"id":"https://openalex.org/W4412875538","doi":"https://doi.org/10.1145/3711896.3736954","title":"FedAPM: Federated Learning via ADMM with Partial Model Personalization","display_name":"FedAPM: Federated Learning via ADMM with Partial Model Personalization","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412875538","doi":"https://doi.org/10.1145/3711896.3736954"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736954","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736954","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736954","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736954","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103171116","display_name":"Shengkun Zhu","orcid":"https://orcid.org/0009-0009-2850-1505"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengkun Zhu","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0009-2850-1505","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119174945","display_name":"Feiteng Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiteng Nie","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0007-5848-0720","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440528","display_name":"Jinshan Zeng","orcid":"https://orcid.org/0000-0003-1719-3358"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshan Zeng","raw_affiliation_strings":["School of Management, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1719-3358","affiliations":[{"raw_affiliation_string":"School of Management, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371276","display_name":"Sheng Wang","orcid":"https://orcid.org/0000-0002-5461-4281"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5461-4281","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048746096","display_name":"Yuan Sun","orcid":"https://orcid.org/0000-0003-2911-0070"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuan Sun","raw_affiliation_strings":["La Trobe Business School, La Trobe University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2911-0070","affiliations":[{"raw_affiliation_string":"La Trobe Business School, La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051299066","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0001-5814-1162"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-5814-1162","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071463661","display_name":"Shangfeng Chen","orcid":"https://orcid.org/0000-0002-9120-0803"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangfeng Chen","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9120-0803","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074979952","display_name":"Quanqing Xu","orcid":"https://orcid.org/0000-0001-8989-9662"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanqing Xu","raw_affiliation_strings":["Oceanbase, Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8989-9662","affiliations":[{"raw_affiliation_string":"Oceanbase, Ant Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086810340","display_name":"Chuanhui Yang","orcid":"https://orcid.org/0009-0009-3530-6476"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanhui Yang","raw_affiliation_strings":["Oceanbase, Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-3530-6476","affiliations":[{"raw_affiliation_string":"Oceanbase, Ant Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8228,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.95854407,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4192","last_page":"4202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9972000122070312,"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":0.9962000250816345,"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/personalization","display_name":"Personalization","score":0.8563402891159058},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8086624145507812},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4485701620578766}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8563402891159058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086624145507812},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4485701620578766}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3711896.3736954","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736954","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736954","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-165782","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-165782","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736954","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736954","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736954","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1088354203","display_name":null,"funder_award_id":"N_HKUST635/20","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4987979235","display_name":null,"funder_award_id":"62376110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7829386608","display_name":null,"funder_award_id":"62202338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412875538.pdf","grobid_xml":"https://content.openalex.org/works/W4412875538.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W615276906","https://openalex.org/W1557899381","https://openalex.org/W1946315329","https://openalex.org/W1967138577","https://openalex.org/W1968154520","https://openalex.org/W1999965501","https://openalex.org/W2021361347","https://openalex.org/W2030931454","https://openalex.org/W2118545728","https://openalex.org/W2157331557","https://openalex.org/W2163922914","https://openalex.org/W2541884796","https://openalex.org/W2556660792","https://openalex.org/W2779483295","https://openalex.org/W2798683079","https://openalex.org/W2892077825","https://openalex.org/W2962853966","https://openalex.org/W2989289980","https://openalex.org/W2995022099","https://openalex.org/W3003754596","https://openalex.org/W3021654819","https://openalex.org/W3035668299","https://openalex.org/W3083491356","https://openalex.org/W3127133996","https://openalex.org/W3131791785","https://openalex.org/W3138059307","https://openalex.org/W3157341860","https://openalex.org/W3167841610","https://openalex.org/W3188994034","https://openalex.org/W3204468048","https://openalex.org/W3205586852","https://openalex.org/W3206192140","https://openalex.org/W3206887799","https://openalex.org/W3213291156","https://openalex.org/W4213272153","https://openalex.org/W4221148872","https://openalex.org/W4223494531","https://openalex.org/W4223507406","https://openalex.org/W4224443907","https://openalex.org/W4235820140","https://openalex.org/W4249513058","https://openalex.org/W4285762978","https://openalex.org/W4287332481","https://openalex.org/W4292363360","https://openalex.org/W4299599836","https://openalex.org/W4300427714","https://openalex.org/W4301491118","https://openalex.org/W4318619660","https://openalex.org/W4361192893","https://openalex.org/W4366492963","https://openalex.org/W4375869379","https://openalex.org/W4381326806","https://openalex.org/W4383468656","https://openalex.org/W4384393836","https://openalex.org/W4385567856","https://openalex.org/W4391831400","https://openalex.org/W4395680622","https://openalex.org/W4401857637","https://openalex.org/W6650436118","https://openalex.org/W6738383168","https://openalex.org/W6747239189"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W2390279801","https://openalex.org/W1499005795","https://openalex.org/W4391913857"],"abstract_inverted_index":{"In":[0],"federated":[1],"learning":[2],"(FL),":[3],"the":[4,26,44,60,85,90,104,121,133,136,143,150,165,184,224,237],"assumption":[5],"that":[6,71,158],"datasets":[7,218],"from":[8,84,190],"different":[9,220],"devices":[10],"are":[11],"independent":[12],"and":[13,25,92,128,142,152,171,205,216,232,252],"identically":[14],"distributed":[15],"(i.i.d.)":[16],"often":[17],"does":[18],"not":[19],"hold":[20],"due":[21],"to":[22,55,112,115,178,194,222],"user":[23],"differences,":[24],"presence":[27],"of":[28,43,94,108,164,175,187,201,226,243],"various":[29],"data":[30],"modalities":[31],"across":[32,57],"clients":[33],"makes":[34],"using":[35,161,213],"a":[36,65,195],"single":[37],"model":[38,45,73,82],"impractical.":[39],"Personalizing":[40],"certain":[41],"parts":[42,54,62],"can":[46],"effectively":[47],"address":[48],"these":[49],"issues":[50],"by":[51,125,160],"allowing":[52],"those":[53],"differ":[56],"clients,":[58],"while":[59,256],"remaining":[61],"serve":[63],"as":[64,113],"shared":[66,86,153],"model.":[67],"However,":[68],"we":[69],"found":[70],"partial":[72],"personalization":[74],"may":[75],"exacerbate":[76],"client":[77,117],"drift":[78],"(each":[79],"client's":[80],"local":[81,151],"diverges":[83],"model),":[87],"thereby":[88],"reducing":[89],"effectiveness":[91],"efficiency":[93],"FL":[95,100,180],"algorithms.":[96],"We":[97,119,182,210],"propose":[98],"an":[99],"framework":[101],"based":[102],"on":[103],"alternating":[105],"direction":[106],"method":[107],"multipliers":[109],"(ADMM),":[110],"referred":[111],"FedAPM,":[114,159],"mitigate":[116],"drift.":[118],"construct":[120],"augmented":[122],"Lagrangian":[123],"function":[124],"incorporating":[126],"first-order":[127,144],"second-order":[129,137],"proximal":[130],"terms":[131,174],"into":[132],"objective,":[134],"with":[135,219,240],"term":[138,145],"providing":[139],"fixed":[140],"correction":[141,148],"offering":[146],"compensatory":[147],"between":[149],"models.":[154],"Our":[155],"analysis":[156],"demonstrates":[157],"explicit":[162],"estimates":[163],"Lagrange":[166],"multiplier,":[167],"is":[168],"more":[169,233],"stable":[170],"efficient":[172],"in":[173,245,249,254],"convergence":[176,186],"compared":[177],"other":[179],"frameworks.":[181],"establish":[183],"global":[185],"FedAPM":[188,229],"training":[189],"arbitrary":[191],"initial":[192],"points":[193],"stationary":[196],"point,":[197],"achieving":[198],"three":[199],"types":[200],"rates:":[202],"constant,":[203],"linear,":[204],"sublinear,":[206],"under":[207],"mild":[208],"assumptions.":[209],"conduct":[211],"experiments":[212],"four":[214],"heterogeneous":[215],"multimodal":[217],"metrics":[221],"validate":[223],"performance":[225],"FedAPM.":[227],"Specifically,":[228],"achieves":[230],"faster":[231],"accurate":[234],"convergence,":[235],"outperforming":[236],"SOTA":[238],"methods":[239],"average":[241],"improvements":[242],"12.3%":[244],"test":[246],"accuracy,":[247],"16.4%":[248],"F1":[250],"score,":[251],"18.0%":[253],"AUC":[255],"requiring":[257],"fewer":[258],"communication":[259],"rounds.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
