{"id":"https://openalex.org/W3204012185","doi":"https://doi.org/10.23919/wiopt52861.2021.9589776","title":"How Valuable Is Your Data? Optimizing Client Recruitment in Federated Learning","display_name":"How Valuable Is Your Data? Optimizing Client Recruitment in Federated Learning","publication_year":2021,"publication_date":"2021-10-18","ids":{"openalex":"https://openalex.org/W3204012185","doi":"https://doi.org/10.23919/wiopt52861.2021.9589776","mag":"3204012185"},"language":"en","primary_location":{"id":"doi:10.23919/wiopt52861.2021.9589776","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt52861.2021.9589776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt)","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/A5048412366","display_name":"Yichen Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yichen Ruan","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763625","display_name":"Xiaoxi Zhang","orcid":"https://orcid.org/0000-0003-0751-2773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoxi Zhang","raw_affiliation_strings":["Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085243096","display_name":"Carlee Joe\u2010Wong","orcid":"https://orcid.org/0000-0003-0785-9291"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlee Joe-Wong","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048412366"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.0396,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89140602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9914000034332275,"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":0.8678534030914307},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6949726343154907},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6895837187767029},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5020096302032471},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47929447889328003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43099284172058105},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.42845430970191956},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4127802550792694},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.376990407705307},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.0940021276473999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8678534030914307},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6949726343154907},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6895837187767029},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5020096302032471},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47929447889328003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43099284172058105},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.42845430970191956},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4127802550792694},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.376990407705307},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0940021276473999},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/wiopt52861.2021.9589776","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt52861.2021.9589776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2029604816","https://openalex.org/W2063379987","https://openalex.org/W2066671865","https://openalex.org/W2541884796","https://openalex.org/W2769835638","https://openalex.org/W2798720628","https://openalex.org/W2904190483","https://openalex.org/W2955213239","https://openalex.org/W2963300197","https://openalex.org/W2963318081","https://openalex.org/W2975156709","https://openalex.org/W2995653155","https://openalex.org/W3001250740","https://openalex.org/W3089426191","https://openalex.org/W3105122387","https://openalex.org/W4287647398","https://openalex.org/W4300427714","https://openalex.org/W4318619660","https://openalex.org/W6738383168","https://openalex.org/W6767131848"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2021850411","https://openalex.org/W4312263439","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W1969481115","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127"],"abstract_inverted_index":{"Federated":[0],"learning":[1,10,33,129],"allows":[2],"distributed":[3],"clients":[4,53,67],"to":[5,26,43,54,95],"train":[6],"a":[7],"shared":[8],"machine":[9],"model":[11],"while":[12],"preserving":[13],"user":[14,22],"privacy.":[15],"In":[16],"this":[17,96,117],"framework,":[18],"an":[19,131],"operator":[20],"recruits":[21],"devices":[23],"(i.e.,":[24],"clients)":[25],"occasionally":[27],"perform":[28],"local":[29],"iterations":[30],"of":[31,65,104,116,127,134],"the":[32,40,46,63,76,102,124,135],"algorithm":[34],"on":[35,62,109],"their":[36],"data.":[37,113],"We":[38,91],"propose":[39],"first":[41],"work":[42,118],"theoretically":[44],"analyze":[45],"resulting":[47],"performance":[48],"tradeoffs":[49,77],"in":[50,68,107],"deciding":[51],"which":[52],"recruit":[55],"for":[56,123],"federated":[57,128],"learning,":[58],"complementing":[59],"other":[60],"works":[61],"selection":[64],"recruited":[66],"each":[69],"iteration.":[70],"Specifically,":[71],"we":[72],"define":[73],"and":[74,82,84,88,100,111,130],"optimize":[75],"between":[78],"both":[79],"accuracy":[80],"(training":[81],"testing)":[83],"efficiency":[85],"(completion":[86],"time":[87],"cost)":[89],"metrics.":[90],"provide":[92],"efficient":[93],"solutions":[94],"NP-Hard":[97],"optimization":[98],"problem,":[99],"verify":[101],"value":[103],"client":[105,136],"recruitment":[106,137],"experiments":[108],"synthetic":[110],"real-world":[112,125],"The":[114],"results":[115],"can":[119],"serve":[120],"as":[121],"guidelines":[122],"deployment":[126],"initial":[132],"investigation":[133],"problem.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
