{"id":"https://openalex.org/W4284680045","doi":"https://doi.org/10.1109/iwqos54832.2022.9812926","title":"Adaptive Clustered Federated Learning for Clients with Time-Varying Interests","display_name":"Adaptive Clustered Federated Learning for Clients with Time-Varying Interests","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4284680045","doi":"https://doi.org/10.1109/iwqos54832.2022.9812926"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos54832.2022.9812926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos54832.2022.9812926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)","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/A5062335127","display_name":"Ne Wang","orcid":"https://orcid.org/0000-0002-3821-785X"},"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":true,"raw_author_name":"Ne Wang","raw_affiliation_strings":["Wuhan University,School of Computer Science,China","School of Computer Science, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024396134","display_name":"Ruiting Zhou","orcid":"https://orcid.org/0000-0001-9681-6482"},"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":"Ruiting Zhou","raw_affiliation_strings":["Wuhan University,School of Computer Science,China","School of Computer Science, Wuhan University, China","School of Cyber Science and Engineering, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036641099","display_name":"Lina Su","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":"Lina Su","raw_affiliation_strings":["Wuhan University,School of Computer Science,China","School of Computer Science, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078875918","display_name":"Guang Fang","orcid":"https://orcid.org/0000-0002-3523-9527"},"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":"Guang Fang","raw_affiliation_strings":["Wuhan University,School of Computer Science,China","School of Computer Science, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066247159","display_name":"Zongpeng Li","orcid":"https://orcid.org/0000-0001-5351-2075"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongpeng Li","raw_affiliation_strings":["Tsinghua University,Insititue for Network Sciences and Cyberspace,China","Insititue for Network Sciences and Cyberspace, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Insititue for Network Sciences and Cyberspace,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Insititue for Network Sciences and Cyberspace, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062335127"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":1.4583,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84540402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9995999932289124,"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":0.9995999932289124,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8344371914863586},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6425995826721191},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.5954176783561707},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5853803157806396},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5239940881729126},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4614400267601013},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43311864137649536},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42678511142730713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31860604882240295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28872910141944885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2321324646472931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8344371914863586},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6425995826721191},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.5954176783561707},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5853803157806396},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5239940881729126},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4614400267601013},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43311864137649536},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42678511142730713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31860604882240295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28872910141944885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2321324646472931},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos54832.2022.9812926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos54832.2022.9812926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2000833802","https://openalex.org/W2151370270","https://openalex.org/W2164663558","https://openalex.org/W2168405694","https://openalex.org/W2891635827","https://openalex.org/W2904190483","https://openalex.org/W2906762886","https://openalex.org/W2912592113","https://openalex.org/W2949505878","https://openalex.org/W2955213239","https://openalex.org/W2989289980","https://openalex.org/W2997389318","https://openalex.org/W2997528551","https://openalex.org/W3007345209","https://openalex.org/W3017956404","https://openalex.org/W3038426846","https://openalex.org/W3047304572","https://openalex.org/W3095593352","https://openalex.org/W3102449016","https://openalex.org/W3109504587","https://openalex.org/W3129362180","https://openalex.org/W3154335119","https://openalex.org/W3162275801","https://openalex.org/W3174401204","https://openalex.org/W3174943464","https://openalex.org/W3205444512","https://openalex.org/W4285876308","https://openalex.org/W4300427714","https://openalex.org/W4308664421","https://openalex.org/W4318619660","https://openalex.org/W4387649052","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6755020399","https://openalex.org/W6756497570","https://openalex.org/W6757172675","https://openalex.org/W6758757267","https://openalex.org/W6763780468","https://openalex.org/W6765541894","https://openalex.org/W6774120287","https://openalex.org/W6779269186","https://openalex.org/W6791444617","https://openalex.org/W6795281715","https://openalex.org/W6795916790","https://openalex.org/W6857615560"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"Clustered":[0],"Federated":[1],"Learning":[2],"(FL)":[3],"addresses":[4],"heterogeneous":[5],"objectives":[6],"from":[7],"different":[8,76],"client":[9,72,98,162,165,229],"groups,":[10],"by":[11,248],"capturing":[12],"the":[13,26,37,69,82,95,101,123,138,169,177,189,219,227,245],"intrinsic":[14],"relationship":[15],"between":[16],"data":[17,42,54,84,181,208],"distributions":[18,43],"of":[19,29,61,97,104,141,221],"clients.":[20],"This":[21],"work":[22],"aims":[23],"to":[24,78,93,114,156,174,202],"minimize":[25],"completion":[27,246],"time":[28,247],"clustered":[30],"FL":[31,157,255],"training":[32,57,83],"while":[33],"guaranteeing":[34],"convergence,":[35],"given":[36],"following":[38],"challenges.":[39],"First,":[40],"clients\u2019":[41],"are":[44,50,108],"not":[45],"static":[46],"since":[47],"their":[48],"interests":[49,140],"usually":[51],"time-varying.":[52],"Obsolete":[53],"may":[55,74],"incur":[56],"failures,":[58],"requiring":[59],"detection":[60],"distribution":[62],"changes":[63,160],"at":[64,87],"runtime.":[65],"Second,":[66],"even":[67],"with":[68,129,206,252],"same":[70],"distribution,":[71],"datasets":[73],"have":[75],"contributions":[77],"model":[79,137],"accuracy.":[80],"Besides,":[81],"typically":[85],"arrive":[86],"clients":[88,105,142,205],"dynamically,":[89],"which":[90],"brings":[91],"uncertainties":[92,115,178],"assessing":[94],"quality":[96,209],"data.":[99],"Third,":[100],"execution":[102],"environments":[103],"and":[106,111,119,184,210,213,223,238],"networks":[107],"often":[109],"unstable":[110],"stochastic,":[112],"leading":[113],"in":[116,161,179],"calculating":[117],"computation":[118,183,212],"communication":[120,185,214],"time.":[121,186],"Given":[122],"above":[124],"challenges,":[125],"we":[126,135,167,195,233],"propose":[127],"Acct":[128,222,235,243],"two":[130],"innovations:":[131],"i)":[132],"change":[133],"detection:":[134],"first":[136],"time-varying":[139],"as":[143],"piecewise":[144],"stationary":[145],"based":[146],"on":[147,188],"practical":[148],"observations,":[149],"then":[150],"apply":[151],"generalized":[152],"likelihood":[153],"ratio":[154],"detectors":[155],"for":[158,176],"detecting":[159],"distributions;":[163],"ii)":[164],"selection:":[166],"adopt":[168],"multi-armed":[170],"bandit":[171],"(MAB)":[172],"technique":[173],"account":[175],"measuring":[180],"quality,":[182],"Based":[187],"upper":[190],"confidence":[191],"bound":[192],"(UCB)":[193],"method,":[194],"construct":[196],"a":[197],"novel":[198],"\u201cdouble":[199],"UCB\u201d":[200],"policy":[201],"adaptively":[203],"select":[204],"high":[207],"low":[211],"overhead.":[215],"We":[216],"rigorously":[217],"prove":[218],"convergence":[220],"sub-linear":[224],"regret":[225],"regarding":[226],"proposed":[228],"selection":[230],"policy.":[231],"Finally,":[232],"implement":[234],"using":[236],"PyTorch":[237],"conduct":[239],"experiments":[240],"showing":[241],"that":[242],"reduces":[244],"almost":[249],"18.2%":[250],"compared":[251],"three":[253],"state-of-the-art":[254],"frameworks.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}