{"id":"https://openalex.org/W4206123967","doi":"https://doi.org/10.1145/3503047.3503102","title":"Clustered Federated Learning Based on Data Distribution","display_name":"Clustered Federated Learning Based on Data Distribution","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4206123967","doi":"https://doi.org/10.1145/3503047.3503102"},"language":"en","primary_location":{"id":"doi:10.1145/3503047.3503102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","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/A5040754678","display_name":"Lu Yu","orcid":"https://orcid.org/0000-0002-9086-8035"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Yu","raw_affiliation_strings":["China Mobile Research Institute, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033461412","display_name":"Wenjing Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Nie","raw_affiliation_strings":["China Mobile Research Institute, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026156050","display_name":"Lun Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lun Xin","raw_affiliation_strings":["China Mobile Research Institute, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081185134","display_name":"Manxue Guo","orcid":"https://orcid.org/0000-0002-9522-0318"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Manxue Guo","raw_affiliation_strings":["China Mobile Research Institute, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040754678"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.6798,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76656965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.965499997138977,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9638000130653381,"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":0.8299055695533752},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.761758029460907},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.5941773653030396},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5858758091926575},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.5826958417892456},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5041443109512329},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4873131215572357},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46752122044563293},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45356959104537964},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43058478832244873},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4259873926639557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3794417381286621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37606310844421387},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3504268527030945},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2500210404396057},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13920840620994568},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0935400128364563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299055695533752},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.761758029460907},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.5941773653030396},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5858758091926575},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.5826958417892456},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5041443109512329},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4873131215572357},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46752122044563293},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45356959104537964},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43058478832244873},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4259873926639557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3794417381286621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37606310844421387},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3504268527030945},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2500210404396057},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13920840620994568},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0935400128364563},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503047.3503102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2541711215","https://openalex.org/W2604738573","https://openalex.org/W3010594930","https://openalex.org/W3019609389","https://openalex.org/W4286421857","https://openalex.org/W4288111766"],"related_works":["https://openalex.org/W79913212","https://openalex.org/W2094884983","https://openalex.org/W2378898096","https://openalex.org/W560952460","https://openalex.org/W2290927522","https://openalex.org/W4283579741","https://openalex.org/W3066706303","https://openalex.org/W876159576","https://openalex.org/W4385893187","https://openalex.org/W4388282301"],"abstract_inverted_index":{"Federated":[0],"learning":[1,6,51,69],"is":[2,44,107,125,140],"a":[3,19,25,56,66],"distributed":[4,40],"machine":[5],"framework":[7],"where":[8],"many":[9],"clients":[10,43],"(e.g.":[11,28],"mobile":[12],"devices":[13],"or":[14],"whole":[15],"organizations)":[16],"collaboratively":[17],"train":[18],"model":[20,59,124,132],"under":[21],"the":[22,33,47,82,91,105,111,122,130,134],"orchestration":[23],"of":[24,46,84,115,121,137,144,146],"central":[26],"server":[27],"service":[29],"provider),":[30],"while":[31,133],"keeping":[32],"training":[34],"data":[35,41,73,85,97,102],"decentralized.":[36],"Non-independent":[37],"and":[38,61,75,113],"identically":[39],"across":[42],"one":[45],"challenges":[48],"in":[49,58,86,96],"federated":[50,68,116],"applications":[52],"which":[53],"leads":[54],"to":[55],"decline":[57],"accuracy":[60,112],"modeling":[62,139],"efficiency.":[63],"We":[64],"present":[65],"clustered":[67,123,138],"algorithm":[70,95],"based":[71],"on":[72],"distribution":[74],"conduct":[76],"an":[77],"empirical":[78],"evaluation.":[79],"To":[80],"protect":[81],"privacy":[83],"each":[87],"client,":[88],"we":[89],"apply":[90],"encrypted":[92],"distance":[93],"computing":[94],"set":[98],"similarity":[99],"measurement.":[100],"The":[101,118],"experiments":[103],"demonstrate":[104],"approach":[106],"effective":[108],"for":[109],"improving":[110],"efficiency":[114],"learning.":[117],"AUC":[119],"values":[120],"about":[126],"15%":[127],"higher":[128],"than":[129,142],"conventional":[131,147],"time":[135],"cost":[136],"less":[141],"1/2":[143],"that":[145],"modeling.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
