{"id":"https://openalex.org/W4388304417","doi":"https://doi.org/10.1186/s13677-023-00515-6","title":"Adaptive device sampling and deadline determination for cloud-based heterogeneous federated learning","display_name":"Adaptive device sampling and deadline determination for cloud-based heterogeneous federated learning","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4388304417","doi":"https://doi.org/10.1186/s13677-023-00515-6"},"language":"en","primary_location":{"id":"doi:10.1186/s13677-023-00515-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-023-00515-6","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-023-00515-6","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-023-00515-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100705648","display_name":"Deyu Zhang","orcid":"https://orcid.org/0000-0002-5676-1285"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deyu Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100972175","display_name":"Wang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100578864","display_name":"Zi-Ang Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zi-Ang Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771953","display_name":"Wenxin Chen","orcid":"https://orcid.org/0000-0002-3641-9378"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046019676","display_name":"Shiwen He","orcid":"https://orcid.org/0000-0003-0549-4970"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwen He","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100705648"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":990,"currency":"GBP","value_usd":1214},"apc_paid":{"value":990,"currency":"GBP","value_usd":1214},"fwci":0.8565,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79343985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13553","display_name":"Age of Information Optimization","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8974720239639282},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.809612512588501},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6308428049087524},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6128532886505127},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.605806291103363},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6013075709342957},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5945234298706055},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5512540936470032},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5236753821372986},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4582899808883667},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.41563594341278076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3248138427734375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11362427473068237},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09992122650146484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8974720239639282},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.809612512588501},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6308428049087524},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6128532886505127},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.605806291103363},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6013075709342957},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5945234298706055},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5512540936470032},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5236753821372986},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4582899808883667},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.41563594341278076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3248138427734375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11362427473068237},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09992122650146484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13677-023-00515-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-023-00515-6","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-023-00515-6","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2f9342991b8540b2918bc86b7420e011","is_oa":true,"landing_page_url":"https://doaj.org/article/2f9342991b8540b2918bc86b7420e011","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-15 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13677-023-00515-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-023-00515-6","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-023-00515-6","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1921880155","display_name":null,"funder_award_id":"62177047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3264992662","display_name":null,"funder_award_id":"62171474","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4768588763","display_name":"Solid State Mossbauer Studies","funder_award_id":"6217147","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5270258738","display_name":"Visual Problem-Solving in the Dolphin","funder_award_id":"6217243","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5507408182","display_name":null,"funder_award_id":"62172439","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6684494968","display_name":"Phycological Studies of Texas  Soils","funder_award_id":"6217704","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7016985960","display_name":null,"funder_award_id":"6217147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7287995061","display_name":null,"funder_award_id":"2023QYJC020","funder_id":"https://openalex.org/F4320321514","funder_display_name":"Central South University"},{"id":"https://openalex.org/G7644884317","display_name":null,"funder_award_id":"2023CXQD061","funder_id":"https://openalex.org/F4320321514","funder_display_name":"Central South University"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388304417.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2275530856","https://openalex.org/W2507174453","https://openalex.org/W2746553466","https://openalex.org/W2895432151","https://openalex.org/W3014718068","https://openalex.org/W3021654819","https://openalex.org/W3043715968","https://openalex.org/W3047304572","https://openalex.org/W3100925971","https://openalex.org/W3108051446","https://openalex.org/W3110381504","https://openalex.org/W3155160971","https://openalex.org/W3156310591","https://openalex.org/W3163231210","https://openalex.org/W3194243671","https://openalex.org/W3196325542","https://openalex.org/W3199144655","https://openalex.org/W3203735593","https://openalex.org/W3206389158","https://openalex.org/W4205597275","https://openalex.org/W4205946715","https://openalex.org/W4213069590","https://openalex.org/W4226167551","https://openalex.org/W4283032505","https://openalex.org/W4293916805","https://openalex.org/W4295347215","https://openalex.org/W4312389599","https://openalex.org/W4312809802","https://openalex.org/W4324116470","https://openalex.org/W4376456793","https://openalex.org/W4376643890","https://openalex.org/W4380203367","https://openalex.org/W4400876885","https://openalex.org/W6600688380"],"related_works":["https://openalex.org/W2979760315","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W2956163139","https://openalex.org/W4312996489","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Abstract":[0],"As":[1],"a":[2,21,79,87,142,159,232],"new":[3],"approach":[4,105,230],"to":[5,48,109,132,169,185,192,219],"machine":[6],"learning,":[7,103],"Federated":[8],"learning":[9,31,85],"enables":[10],"distributned":[11],"traiing":[12],"on":[13,86,123,148,204],"edge":[14,25,91],"devices":[15,26,108],"and":[16,42,64,115,140,153,179,215,240,254],"aggregates":[17],"local":[18,176,187],"models":[19,50,136,188],"into":[20],"global":[22],"model.":[23],"The":[24],"that":[27,82,163,209,242],"participate":[28],"in":[29,35,100,137,249],"federated":[30,71,84,102],"are":[32],"highly":[33],"heterogeneous":[34,70,101],"terms":[36,250],"of":[37,90,97,113,172,195,228,234,251],"computing":[38,154],"power,":[39],"device":[40,62,124,129,134,149,196],"state,":[41,197],"data":[43,151],"distribution,":[44],"making":[45],"it":[46],"challenging":[47],"converge":[49],"efficiently.":[51,190],"In":[52],"this":[53],"paper,":[54],"we":[55,74,198],"propose":[56,158],"FedState,":[57],"which":[58],"is":[59],"an":[60,200],"adaptive":[61],"sampling":[63,214],"deadline":[65,118,160,167,216],"determination":[66,161],"technique":[67],"for":[68,119],"cloud-based":[69],"learning.":[72],"Specifically,":[73],"consider":[75],"the":[76,95,117,166,170,193,220,226,237],"cloud":[77],"as":[78],"central":[80],"server":[81],"orchestrates":[83],"large":[88],"pool":[89],"devices.":[92],"To":[93],"improve":[94],"efficiency":[96],"model":[98,252],"convergence":[99,255],"our":[104,213,229,243],"adaptively":[106],"samples":[107],"join":[110],"each":[111],"round":[112],"training":[114,177],"determines":[116],"result":[120],"submission":[121],"based":[122,147,203],"state.":[125,223],"We":[126,156,224],"analyze":[127],"existing":[128],"usage":[130],"traces":[131],"build":[133],"state":[135],"different":[138],"scenarios":[139],"design":[141,199],"dynamic":[143],"importance":[144],"measurement":[145],"mechanism":[146],"availability,":[150],"utility,":[152],"power.":[155],"also":[157],"module":[162],"dynamically":[164,211],"sets":[165],"according":[168,218],"availability":[171],"all":[173],"sampled":[174],"devices,":[175],"time,":[178,181],"communication":[180],"enabling":[182],"more":[183,189],"clients":[184],"submit":[186],"Due":[191],"variability":[194],"experience-driven":[201],"algorithm":[202],"Deep":[205],"Reinforcement":[206],"Learning":[207],"(DRL)":[208],"can":[210],"adjust":[212],"policies":[217],"current":[221,246],"environment":[222],"demonstrate":[225],"effectiveness":[227],"through":[231],"series":[233],"experiments":[235],"with":[236],"FMNIST":[238],"dataset":[239],"show":[241],"method":[244],"outperforms":[245],"state-of-the-art":[247],"approaches":[248],"accuracy":[253],"speed.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}