{"id":"https://openalex.org/W4289655143","doi":"https://doi.org/10.1109/isit50566.2022.9834545","title":"Proportional Fair Clustered Federated Learning","display_name":"Proportional Fair Clustered Federated Learning","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655143","doi":"https://doi.org/10.1109/isit50566.2022.9834545"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834545","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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/A5027117881","display_name":"Mohamed Nafea","orcid":"https://orcid.org/0000-0003-4631-6767"},"institutions":[{"id":"https://openalex.org/I71792333","display_name":"University of Detroit Mercy","ror":"https://ror.org/0037qsh65","country_code":"US","type":"education","lineage":["https://openalex.org/I71792333"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohamed Nafea","raw_affiliation_strings":["University of Detroit,Electrical and Computer Engineering,Mercy,MI","Electrical and Computer Engineering, University of Detroit, Mercy, MI"],"affiliations":[{"raw_affiliation_string":"University of Detroit,Electrical and Computer Engineering,Mercy,MI","institution_ids":["https://openalex.org/I71792333"]},{"raw_affiliation_string":"Electrical and Computer Engineering, University of Detroit, Mercy, MI","institution_ids":["https://openalex.org/I71792333"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081207492","display_name":"Eugine Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugine Shin","raw_affiliation_strings":["The Ohio State University,Computer Science and Engineering,USA","Computer Science and Engineering, The Ohio State University, USA"],"affiliations":[{"raw_affiliation_string":"The Ohio State University,Computer Science and Engineering,USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Computer Science and Engineering, The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039328157","display_name":"Aylin Yener","orcid":"https://orcid.org/0000-0003-0820-3390"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aylin Yener","raw_affiliation_strings":["The Ohio State University,Electrical and Computer Engineering,USA","Electrical and Computer Engineering, The Ohio State University, USA"],"affiliations":[{"raw_affiliation_string":"The Ohio State University,Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Electrical and Computer Engineering, The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027117881"],"corresponding_institution_ids":["https://openalex.org/I71792333"],"apc_list":null,"apc_paid":null,"fwci":1.0432,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78447271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2022","last_page":"2027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7476368546485901},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7344200015068054},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.5885501503944397},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5522763133049011},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5206674337387085},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.45054659247398376},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4468824565410614},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4461449980735779},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42861804366111755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42013928294181824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3809109926223755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.160528302192688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476368546485901},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7344200015068054},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.5885501503944397},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5522763133049011},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5206674337387085},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.45054659247398376},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4468824565410614},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4461449980735779},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42861804366111755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42013928294181824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3809109926223755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.160528302192688},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834545","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":87,"referenced_works":["https://openalex.org/W1559060276","https://openalex.org/W2014352947","https://openalex.org/W2084812512","https://openalex.org/W2100960835","https://openalex.org/W2162670686","https://openalex.org/W2530395818","https://openalex.org/W2535838896","https://openalex.org/W2785893262","https://openalex.org/W2807006176","https://openalex.org/W2808105152","https://openalex.org/W2910839839","https://openalex.org/W2912592113","https://openalex.org/W2946193510","https://openalex.org/W2947657760","https://openalex.org/W2953289765","https://openalex.org/W2955213239","https://openalex.org/W2962790618","https://openalex.org/W2976335444","https://openalex.org/W2989289980","https://openalex.org/W3006919779","https://openalex.org/W3007548213","https://openalex.org/W3035034487","https://openalex.org/W3038022836","https://openalex.org/W3080934299","https://openalex.org/W3091635927","https://openalex.org/W3109723249","https://openalex.org/W3111870364","https://openalex.org/W3125494587","https://openalex.org/W3129362180","https://openalex.org/W3185309611","https://openalex.org/W3187795038","https://openalex.org/W3198906045","https://openalex.org/W3201527618","https://openalex.org/W3211201700","https://openalex.org/W3213859843","https://openalex.org/W4221147816","https://openalex.org/W4221159504","https://openalex.org/W4226146608","https://openalex.org/W4285762978","https://openalex.org/W4285876308","https://openalex.org/W4286912360","https://openalex.org/W4288101682","https://openalex.org/W4294106961","https://openalex.org/W4295312788","https://openalex.org/W4297687186","https://openalex.org/W4297789543","https://openalex.org/W4298162257","https://openalex.org/W4298846155","https://openalex.org/W4300427714","https://openalex.org/W4318619660","https://openalex.org/W6633301734","https://openalex.org/W6671611538","https://openalex.org/W6684072790","https://openalex.org/W6728551298","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6743933341","https://openalex.org/W6748256130","https://openalex.org/W6752029299","https://openalex.org/W6757907451","https://openalex.org/W6758757267","https://openalex.org/W6759238902","https://openalex.org/W6761164109","https://openalex.org/W6762879059","https://openalex.org/W6765541894","https://openalex.org/W6766978945","https://openalex.org/W6768297860","https://openalex.org/W6768537144","https://openalex.org/W6768570320","https://openalex.org/W6771536673","https://openalex.org/W6773745131","https://openalex.org/W6774195376","https://openalex.org/W6779174293","https://openalex.org/W6779269186","https://openalex.org/W6786597537","https://openalex.org/W6787299043","https://openalex.org/W6791305734","https://openalex.org/W6791444617","https://openalex.org/W6798563395","https://openalex.org/W6799372169","https://openalex.org/W6802056399","https://openalex.org/W6802161216","https://openalex.org/W6802667569","https://openalex.org/W6803669158","https://openalex.org/W6804091998","https://openalex.org/W6809952178","https://openalex.org/W6810609266"],"related_works":["https://openalex.org/W4256429076","https://openalex.org/W1971174658","https://openalex.org/W2099195351","https://openalex.org/W2348092930","https://openalex.org/W2012063272","https://openalex.org/W3129272755","https://openalex.org/W3162204513","https://openalex.org/W2138685729","https://openalex.org/W2587900963","https://openalex.org/W26693340"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"federated":[3],"learning":[4,48,97,110],"(FL)":[5],"with":[6],"non-identical":[7],"data":[8,27],"generating":[9],"distributions":[10],"and":[11,29,99,125],"under":[12,54],"the":[13,55,84,96,109,126],"notion":[14],"of":[15,66,87,91,108,122],"proportional":[16,100],"fairness.":[17],"Users":[18],"are":[19,77],"partitioned":[20],"into":[21],"disjoint":[22],"clusters":[23],"based":[24],"on":[25,137],"their":[26,81],"distributions,":[28],"a":[30,138],"distinct":[31],"model":[32],"is":[33,52,112,130,135],"learnt":[34],"for":[35],"each":[36],"cluster.":[37],"Different":[38],"than":[39],"previous":[40],"work":[41],"that":[42,61,76,94],"considered":[43],"clustering":[44,51],"to":[45,80,141],"optimize":[46],"personalized":[47],"performance,":[49],"here":[50],"inspected":[53],"disparate":[56],"impact":[57],"doctrine":[58],"which":[59],"requires":[60],"protected":[62],"classes":[63],"(e.g.,":[64],"those":[65],"certain":[67],"race":[68],"or":[69],"gender)":[70],"have":[71],"representations":[72],"in":[73,83],"every":[74],"cluster":[75,103,123],"approximately":[78],"equal":[79],"representation":[82],"overall":[85],"set":[86],"users.":[88],"A":[89],"family":[90],"iterative":[92],"algorithms":[93,119],"balance":[95],"performance":[98],"fairness":[101],"through":[102],"assignments":[104],"as":[105],"randomized":[106],"functions":[107],"losses":[111],"proposed.":[113],"The":[114,132],"trade-off":[115],"induced":[116],"by":[117],"our":[118],"between":[120],"accuracy":[121],"estimation":[124],"introduced":[127],"randomization":[128],"level":[129],"characterized.":[131],"proposed":[133],"algorithm":[134],"examined":[136],"real":[139],"dataset":[140],"evaluate":[142],"its":[143],"performance.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}