{"id":"https://openalex.org/W4403407871","doi":"https://doi.org/10.1109/icc51166.2024.10622903","title":"CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning","display_name":"CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4403407871","doi":"https://doi.org/10.1109/icc51166.2024.10622903"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101646698","display_name":"Xiang Ma","orcid":"https://orcid.org/0000-0003-3019-366X"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Ma","raw_affiliation_strings":["Utah State University,Department of Electrical and Computer Engineering,Logan,UT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University,Department of Electrical and Computer Engineering,Logan,UT","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337797","display_name":"Qun Wang","orcid":"https://orcid.org/0000-0002-6313-2727"},"institutions":[{"id":"https://openalex.org/I71838634","display_name":"San Francisco State University","ror":"https://ror.org/05ykr0121","country_code":"US","type":"education","lineage":["https://openalex.org/I71838634"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qun Wang","raw_affiliation_strings":["San Francisco State University,Department of Computer Science,San Francisco,CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"San Francisco State University,Department of Computer Science,San Francisco,CA","institution_ids":["https://openalex.org/I71838634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068479157","display_name":"Haijian Sun","orcid":"https://orcid.org/0000-0002-0680-147X"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haijian Sun","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Georgia,Athens,GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Georgia,Athens,GA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057118326","display_name":"Rose Qingyang Hu","orcid":"https://orcid.org/0000-0002-1571-3631"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rose Qingyang Hu","raw_affiliation_strings":["Utah State University,Department of Electrical and Computer Engineering,Logan,UT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University,Department of Electrical and Computer Engineering,Logan,UT","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073527013","display_name":"Yi Qian","orcid":"https://orcid.org/0000-0001-5671-916X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Qian","raw_affiliation_strings":["University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Omaha,NE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Department of Electrical and Computer Engineering,Omaha,NE","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3978,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84022818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"274","last_page":"279"},"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/T10237","display_name":"Cryptography and Data Security","score":0.9991999864578247,"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":0.9940000176429749,"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":0.8392432332038879},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7501956224441528},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6238688826560974},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.48397040367126465},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4587346613407135},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2612580358982086},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.07548955082893372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8392432332038879},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7501956224441528},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6238688826560974},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48397040367126465},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4587346613407135},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2612580358982086},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.07548955082893372},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc51166.2024.10622903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6344481742","display_name":"Collaborative Research: CNS Core: Small: Secure and Efficient Mobile Edge Computing in Wireless Heterogeneous Networks","funder_award_id":"2008145","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2535838896","https://openalex.org/W2921434559","https://openalex.org/W2921560693","https://openalex.org/W2963318081","https://openalex.org/W2963819344","https://openalex.org/W3021654819","https://openalex.org/W3105122387","https://openalex.org/W3136022984","https://openalex.org/W4226128266","https://openalex.org/W4281868833","https://openalex.org/W4297687186","https://openalex.org/W6728757088","https://openalex.org/W6760214840","https://openalex.org/W6785591483","https://openalex.org/W6839009420"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2116677773","https://openalex.org/W4298221930","https://openalex.org/W2155261584","https://openalex.org/W2584231425","https://openalex.org/W2150611273","https://openalex.org/W2390279801","https://openalex.org/W2777914285","https://openalex.org/W4383567219"],"abstract_inverted_index":{"Asynchronous":[0],"federated":[1,33,152,166,225],"learning":[2,34,153,167,226,232],"aims":[3],"to":[4,24,36,40,63,111],"solve":[5],"the":[6,38,42,76,83,112,117,120,134,151,159,162,171,183,189,211,222,231],"straggler":[7],"problem":[8],"in":[9,71,132,150,174,188,206,235],"an":[10,49,95,196],"environment":[11],"with":[12,145,200,215],"heterogeneity,":[13],"where":[14],"certain":[15],"clients":[16,60,92,144],"may":[17,115],"possess":[18],"limited":[19],"computational":[20],"capacities,":[21],"potentially":[22],"leading":[23],"model":[25,43,88,98,125],"aggregation":[26,126,172,178,198],"delay.":[27],"The":[28,203],"core":[29],"concept":[30],"behind":[31],"asynchronous":[32,77,165],"is":[35,69,82,140],"empower":[37],"server":[39],"aggregate":[41],"as":[44,46,187,221],"soon":[45],"it":[47],"receives":[48],"update":[50],"from":[51,58],"any":[52],"client":[53,138,201],"without":[54],"waiting":[55,66],"for":[56,99],"updates":[57],"multiple":[59],"or":[61],"adhering":[62],"a":[64,79,86,129,216],"predetermined":[65],"time,":[67],"which":[68],"typical":[70],"synchronous":[72,175,190,224],"mode.":[73,176],"Because":[74],"of":[75,85,119,161,164,219],"setting,":[78],"potential":[80],"concern":[81],"emergence":[84],"stale":[87],"issue,":[89],"wherein":[90],"slow":[91],"might":[93],"employ":[94],"outdated":[96],"local":[97],"their":[100],"data":[101],"training.":[102,122],"Consequently,":[103],"when":[104,142,169],"these":[105],"locally":[106],"trained":[107],"models":[108],"are":[109,192],"uploaded":[110],"server,":[113],"they":[114],"impede":[116],"convergence":[118,163,185],"global":[121,135],"Therefore,":[123],"effective":[124],"strategies":[127],"play":[128],"significant":[130],"role":[131],"updating":[133],"model.":[136],"Besides,":[137],"scheduling":[139],"critical":[141],"heterogeneous":[143],"diversified":[146],"computing":[147],"capacities":[148],"participate":[149],"process.":[154],"This":[155],"work":[156],"first":[157],"investigates":[158],"impact":[160],"mode":[168,191],"adopting":[170],"coefficient":[173],"Effective":[177],"solutions":[179],"that":[180,210],"can":[181],"achieve":[182],"same":[184],"result":[186],"proposed,":[193],"followed":[194],"by":[195],"improved":[197],"method":[199],"scheduling.":[202],"simulation":[204],"results":[205],"various":[207],"cases":[208],"demonstrate":[209],"proposed":[212],"algorithm":[213,227],"converges":[214],"similar":[217],"level":[218],"accuracy":[220],"classical":[223],"but":[228],"effectively":[229],"accelerates":[230],"process,":[233],"especially":[234],"its":[236],"early":[237],"stage.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
