{"id":"https://openalex.org/W3021250250","doi":"https://doi.org/10.1109/ciss48834.2020.1570616094","title":"An Optimal Stopping Approach for Iterative Training in Federated Learning","display_name":"An Optimal Stopping Approach for Iterative Training in Federated Learning","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3021250250","doi":"https://doi.org/10.1109/ciss48834.2020.1570616094","mag":"3021250250"},"language":"en","primary_location":{"id":"doi:10.1109/ciss48834.2020.1570616094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss48834.2020.1570616094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Annual Conference on Information Sciences and Systems (CISS)","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/A5015229717","display_name":"Pengfei Jiang","orcid":"https://orcid.org/0000-0001-6832-7462"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pengfei Jiang","raw_affiliation_strings":["ECEE, Arizona State University, Tempe, US"],"affiliations":[{"raw_affiliation_string":"ECEE, Arizona State University, Tempe, US","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358933","display_name":"Lei Ying","orcid":"https://orcid.org/0000-0001-7955-9445"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Ying","raw_affiliation_strings":["EECS, University of Michigan, Ann Arbor, US"],"affiliations":[{"raw_affiliation_string":"EECS, University of Michigan, Ann Arbor, US","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015229717"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.193,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83226476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9955999851226807,"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":0.9897000193595886,"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":0.8251013159751892},{"id":"https://openalex.org/keywords/optimal-stopping","display_name":"Optimal stopping","score":0.5949519276618958},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5365502834320068},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5249300599098206},{"id":"https://openalex.org/keywords/early-stopping","display_name":"Early stopping","score":0.5192130208015442},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4884999990463257},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47622257471084595},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.41474491357803345},{"id":"https://openalex.org/keywords/client\u2013server-model","display_name":"Client\u2013server model","score":0.41444331407546997},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.382101833820343},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35854870080947876},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3506180942058563},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3302155137062073},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.30303865671157837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29439660906791687},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10225418210029602},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08895280957221985},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0804227888584137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8251013159751892},{"id":"https://openalex.org/C99414536","wikidata":"https://www.wikidata.org/wiki/Q7098950","display_name":"Optimal stopping","level":2,"score":0.5949519276618958},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5365502834320068},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5249300599098206},{"id":"https://openalex.org/C5465570","wikidata":"https://www.wikidata.org/wiki/Q5326898","display_name":"Early stopping","level":3,"score":0.5192130208015442},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47622257471084595},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.41474491357803345},{"id":"https://openalex.org/C152880691","wikidata":"https://www.wikidata.org/wiki/Q146813","display_name":"Client\u2013server model","level":3,"score":0.41444331407546997},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.382101833820343},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35854870080947876},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3506180942058563},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3302155137062073},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.30303865671157837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29439660906791687},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10225418210029602},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08895280957221985},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0804227888584137},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss48834.2020.1570616094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss48834.2020.1570616094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Annual Conference on Information Sciences and Systems (CISS)","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":17,"referenced_works":["https://openalex.org/W1982063824","https://openalex.org/W2168231600","https://openalex.org/W2541884796","https://openalex.org/W2888561381","https://openalex.org/W2900120080","https://openalex.org/W2912213068","https://openalex.org/W2924921501","https://openalex.org/W3021250250","https://openalex.org/W3037047862","https://openalex.org/W3212066104","https://openalex.org/W4318619660","https://openalex.org/W6684859321","https://openalex.org/W6728757088","https://openalex.org/W6754143808","https://openalex.org/W6755251367","https://openalex.org/W6755988804","https://openalex.org/W6776384781"],"related_works":["https://openalex.org/W1524078913","https://openalex.org/W96515423","https://openalex.org/W2041650491","https://openalex.org/W2033483503","https://openalex.org/W2099084456","https://openalex.org/W205360658","https://openalex.org/W2495456519","https://openalex.org/W4387914328","https://openalex.org/W2312298660","https://openalex.org/W1605843535"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,36,43,81,85,89,92,101,104,107,111,141,153,185,192],"problem":[4,154,164],"of":[5,66,71,91,211],"iterative":[6,63],"training":[7,26,60,139],"in":[8,213],"Federated":[9],"Learning.":[10],"We":[11,136,176],"consider":[12,137],"a":[13,16,27,47,122,133,148,171,179,197,208],"system":[14],"with":[15,31,42,94,205],"single":[17],"parameter":[18,44,86,108,142],"server":[19,45,87,109,117,143],"(PS)":[20],"and":[21,125,151],"M":[22],"client":[23,37,79],"devices":[24],"for":[25,191],"predictive":[28],"learning":[29],"model":[30,124],"distributed":[32],"data":[33,199],"sets":[34],"on":[35,196],"devices.":[38],"The":[39,59,116],"clients":[40,130],"communicate":[41],"using":[46],"common":[48],"wireless":[49,112],"channel,":[50],"so":[51],"each":[52,72,78,214],"time":[53],"only":[54],"one":[55],"device":[56,102],"can":[57],"transmit.":[58],"is":[61,114,165],"an":[62,76,156],"process":[64],"consisting":[65],"multiple":[67],"rounds.":[68],"At":[69],"beginning":[70,90],"round":[73],"(also":[74],"called":[75],"iteration),":[77],"trains":[80],"model,":[82],"broadcast":[83],"by":[84],"at":[88],"round,":[93,150],"its":[95],"own":[96],"data.":[97],"After":[98],"finishing":[99],"training,":[100],"transmits":[103],"update":[105],"to":[106,120,128,131,146,167,183],"when":[110,145],"channel":[113],"available.":[115],"aggregates":[118],"updates":[119,212],"obtain":[121],"new":[123,134,149],"broadcasts":[126],"it":[127],"all":[129],"start":[132],"round.":[135,215],"adaptive":[138],"where":[140],"decides":[144],"stop/restart":[147],"formulate":[152],"as":[155],"optimal":[157,162,173],"stopping":[158,163,174],"problem.":[159,175,194],"While":[160],"this":[161],"difficult":[166],"solve,":[168],"we":[169],"propose":[170],"modified":[172,186],"first":[177],"develop":[178],"low":[180],"complexity":[181],"algorithm":[182],"solve":[184],"problem,":[187],"which":[188],"also":[189],"works":[190],"original":[193],"Experiments":[195],"real":[198],"set":[200],"shows":[201],"significant":[202],"improvements":[203],"compared":[204],"policies":[206],"collecting":[207],"fixed":[209],"number":[210]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
