{"id":"https://openalex.org/W4401856677","doi":"https://doi.org/10.1145/3637528.3671979","title":"CASA: Clustered Federated Learning with Asynchronous Clients","display_name":"CASA: Clustered Federated Learning with Asynchronous Clients","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401856677","doi":"https://doi.org/10.1145/3637528.3671979"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671979","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-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/A5039803393","display_name":"Boyi Liu","orcid":"https://orcid.org/0009-0004-5894-7878"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Boyi Liu","raw_affiliation_strings":["SKLCCSE Lab, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SKLCCSE Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114213439","display_name":"Yiming Ma","orcid":"https://orcid.org/0009-0002-8480-8076"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Ma","raw_affiliation_strings":["SKLCCSE Lab, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SKLCCSE Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011140675","display_name":"Zimu Zhou","orcid":"https://orcid.org/0000-0002-5457-6967"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zimu Zhou","raw_affiliation_strings":["School of Data Science, City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045154000","display_name":"Yexuan Shi","orcid":"https://orcid.org/0000-0001-8897-3533"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yexuan Shi","raw_affiliation_strings":["SKLCCSE Lab, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SKLCCSE Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019901542","display_name":"Shuyuan Li","orcid":"https://orcid.org/0009-0008-1731-2541"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Li","raw_affiliation_strings":["SKLCCSE Lab, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SKLCCSE Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051874566","display_name":"Yongxin Tong","orcid":"https://orcid.org/0000-0002-5598-0312"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxin Tong","raw_affiliation_strings":["SKLCCSE Lab, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SKLCCSE Lab, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039803393"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.9132,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.92019258,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1851","last_page":"1862"},"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":0.995199978351593,"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":0.9830999970436096,"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":0.7893077731132507},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7211072444915771},{"id":"https://openalex.org/keywords/asynchronous-learning","display_name":"Asynchronous learning","score":0.6764683723449707},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.30006393790245056},{"id":"https://openalex.org/keywords/synchronous-learning","display_name":"Synchronous learning","score":0.19106048345565796},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.06683918833732605},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06621289253234863},{"id":"https://openalex.org/keywords/cooperative-learning","display_name":"Cooperative learning","score":0.049546122550964355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893077731132507},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7211072444915771},{"id":"https://openalex.org/C2777072894","wikidata":"https://www.wikidata.org/wiki/Q4812204","display_name":"Asynchronous learning","level":5,"score":0.6764683723449707},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.30006393790245056},{"id":"https://openalex.org/C19122763","wikidata":"https://www.wikidata.org/wiki/Q7662215","display_name":"Synchronous learning","level":4,"score":0.19106048345565796},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.06683918833732605},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06621289253234863},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.049546122550964355},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671979","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2057907879","https://openalex.org/W2112796928","https://openalex.org/W2604272474","https://openalex.org/W2978709794","https://openalex.org/W2990138404","https://openalex.org/W2998045710","https://openalex.org/W3034163621","https://openalex.org/W3035668299","https://openalex.org/W3038022836","https://openalex.org/W3046289513","https://openalex.org/W3080934299","https://openalex.org/W3091635927","https://openalex.org/W3099314130","https://openalex.org/W3106416029","https://openalex.org/W3133814152","https://openalex.org/W3136022984","https://openalex.org/W3174401204","https://openalex.org/W3208198101","https://openalex.org/W3211478957","https://openalex.org/W3214056483","https://openalex.org/W4212984905","https://openalex.org/W4225796852","https://openalex.org/W4281753687","https://openalex.org/W4281988564","https://openalex.org/W4283318592","https://openalex.org/W4283837358","https://openalex.org/W4285762978","https://openalex.org/W4285876308","https://openalex.org/W4307929097","https://openalex.org/W4317926962","https://openalex.org/W4320478019","https://openalex.org/W4361760350","https://openalex.org/W4366463843","https://openalex.org/W4382317695","https://openalex.org/W4385270518","https://openalex.org/W4385568042","https://openalex.org/W4385800841","https://openalex.org/W6759238902"],"related_works":["https://openalex.org/W4226047841","https://openalex.org/W2156559761","https://openalex.org/W3020208395","https://openalex.org/W2496167052","https://openalex.org/W2041343407","https://openalex.org/W4401821536","https://openalex.org/W2058515809","https://openalex.org/W4295242624","https://openalex.org/W2946278724","https://openalex.org/W2024923645"],"abstract_inverted_index":{"Clustered":[0],"Federated":[1],"Learning":[2],"(CFL)":[3],"is":[4],"an":[5],"emerging":[6],"paradigm":[7],"to":[8,34,60,66,81,125],"extract":[9],"insights":[10],"from":[11,44],"data":[12,26],"on":[13,110,133],"IoT":[14],"devices.":[15,36],"Through":[16],"iterative":[17,83],"client":[18,68],"clustering":[19,52,123,128],"and":[20,30,53,119,129,145],"model":[21,143],"aggregation,":[22],"CFL":[23,38,94],"adeptly":[24],"manages":[25],"heterogeneity,":[27],"ensures":[28],"privacy,":[29],"delivers":[31],"personalized":[32],"models":[33],"heterogeneous":[35],"Traditional":[37],"approaches,":[39],"which":[40],"operate":[41],"synchronously,":[42],"suffer":[43],"prolonged":[45],"latency":[46],"for":[47,96],"waiting":[48],"slow":[49],"devices":[50],"during":[51],"aggregation.":[54,130],"This":[55,73],"paper":[56],"advocates":[57],"a":[58,92,103,114,120],"shift":[59,74],"asynchronous":[61,116],"CFL,":[62,111],"allowing":[63],"the":[64,82],"server":[65],"process":[67],"updates":[69],"as":[70],"they":[71],"arrive.":[72],"enhances":[75],"training":[76,84],"efficiency":[77],"yet":[78],"introduces":[79],"complexities":[80],"cycle.":[85],"To":[86],"this":[87],"end,":[88],"we":[89],"present":[90],"CASA,":[91],"novel":[93],"scheme":[95],"Clustering-Aggregation":[97],"Synergy":[98],"under":[99],"Asynchrony.":[100],"Built":[101],"upon":[102],"holistic":[104],"theoretical":[105],"understanding":[106],"of":[107],"asynchrony's":[108],"impact":[109],"CASA":[112,138],"adopts":[113],"bi-level":[115],"aggregation":[117],"method":[118],"buffer-aided":[121],"dynamic":[122],"strategy":[124],"harmonize":[126],"between":[127],"Extensive":[131],"evaluations":[132],"standard":[134],"benchmarks":[135],"show":[136],"that":[137],"outperforms":[139],"representative":[140],"baselines":[141],"in":[142],"accuracy":[144],"achieves":[146],"2.28-6.49\u00d7":[147],"higher":[148],"convergence":[149],"speed.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
