{"id":"https://openalex.org/W4392980062","doi":"https://doi.org/10.1109/tvt.2024.3379742","title":"Efficient Federated Learning via Joint Communication and Computation Optimization","display_name":"Efficient Federated Learning via Joint Communication and Computation Optimization","publication_year":2024,"publication_date":"2024-03-20","ids":{"openalex":"https://openalex.org/W4392980062","doi":"https://doi.org/10.1109/tvt.2024.3379742"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3379742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3379742","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Efficient_Federated_Learning_via_Joint_Communication_and_Computation_Optimization/25591074","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100720489","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0001-6326-7114"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6326-7114","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101939842","display_name":"Chenguang Zhao","orcid":"https://orcid.org/0000-0002-7336-3625"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenguang Zhao","raw_affiliation_strings":["School of Electronics and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7336-3625","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106710542","display_name":"Qi Qi","orcid":"https://orcid.org/0009-0001-0132-6497"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Qi","raw_affiliation_strings":["School of Electronics and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-0132-6497","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007937717","display_name":"Rui Han","orcid":"https://orcid.org/0000-0002-7418-7635"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Han","raw_affiliation_strings":["Tsinghua Space Center, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7418-7635","affiliations":[{"raw_affiliation_string":"Tsinghua Space Center, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072780525","display_name":"Lin Bai","orcid":"https://orcid.org/0000-0001-5705-0912"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Bai","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China","Zhongguancun Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5705-0912","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022303970","display_name":"Jinho Choi","orcid":"https://orcid.org/0000-0002-4895-6680"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinho Choi","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4895-6680","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100720489"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.6491,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90660761,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"73","issue":"8","first_page":"11580","last_page":"11592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9930999875068665,"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":0.9929999709129333,"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":0.6007740497589111},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5764073729515076},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5113388895988464},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3471868634223938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34587666392326355},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32186180353164673},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22654342651367188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.137366384267807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6007740497589111},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5764073729515076},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5113388895988464},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3471868634223938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34587666392326355},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32186180353164673},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22654342651367188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.137366384267807},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2024.3379742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3379742","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/25591074","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Efficient_Federated_Learning_via_Joint_Communication_and_Computation_Optimization/25591074","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/25591074","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Efficient_Federated_Learning_via_Joint_Communication_and_Computation_Optimization/25591074","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4108527795","display_name":null,"funder_award_id":"U2033215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8376979584","display_name":null,"funder_award_id":"2023T160363","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8717669564","display_name":null,"funder_award_id":"U22B2008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2018759226","https://openalex.org/W2089559088","https://openalex.org/W2750384547","https://openalex.org/W2763081248","https://openalex.org/W2920095265","https://openalex.org/W2963049063","https://openalex.org/W2972570881","https://openalex.org/W2975156709","https://openalex.org/W3015636663","https://openalex.org/W3015640161","https://openalex.org/W3016604587","https://openalex.org/W3021435406","https://openalex.org/W3024699729","https://openalex.org/W3035625450","https://openalex.org/W3038426846","https://openalex.org/W3083025901","https://openalex.org/W3089655738","https://openalex.org/W3090615085","https://openalex.org/W3093755649","https://openalex.org/W3102449016","https://openalex.org/W3110381504","https://openalex.org/W3111182214","https://openalex.org/W3118608800","https://openalex.org/W3202260564","https://openalex.org/W3205260830","https://openalex.org/W3214755690","https://openalex.org/W4221158003","https://openalex.org/W4320024058","https://openalex.org/W4389981142","https://openalex.org/W4392152843","https://openalex.org/W4402039775","https://openalex.org/W6743688258","https://openalex.org/W6763288952","https://openalex.org/W6767676916","https://openalex.org/W6780071757","https://openalex.org/W6780688020","https://openalex.org/W6787972765","https://openalex.org/W6838298007","https://openalex.org/W6846280101","https://openalex.org/W6852467061"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2888483922","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W3134658850"],"abstract_inverted_index":{"Federated":[0],"learning":[1,230],"(FL)":[2],"is":[3,116,122,135,252],"a":[4,9,12,20,52,74,95,117,149,167],"promising":[5],"distributed":[6],"framework":[7],"that":[8],"server":[10],"leverages":[11],"large":[13],"number":[14],"of":[15,26,33,58,78,105,109,181,220],"clients":[16],"to":[17,43,100,140,160,177,188],"collaboratively":[18],"learn":[19],"model":[21,77,91,98,233],"while":[22],"keeping":[23],"the":[24,31,44,49,56,62,67,102,142,162,171,179,189,194,218,221,225,241],"privacy":[25],"their":[27],"local":[28,90],"data.":[29],"However,":[30],"heterogeneity":[32],"computation":[34,108],"and":[35,89,107,236,246],"communication":[36,106],"resources":[37],"among":[38],"clients,":[39],"which":[40,121,165],"maybe":[41],"lead":[42],"different":[45],"time":[46,228],"arriving":[47],"at":[48],"server,":[50],"has":[51],"negative":[53],"effect":[54],"on":[55,94,234],"convergence":[57],"FL":[59,232],"algorithms":[60],"because":[61],"stragglers":[63],"heavily":[64],"slow":[65],"down":[66],"runtime.":[68],"In":[69],"this":[70,114],"paper,":[71],"we":[72,147],"develop":[73],"joint":[75],"optimization":[76],"client":[79],"central":[80],"processing":[81],"unit":[82],"(CPU)":[83],"frequency,":[84],"channel":[85],"assignment,":[86],"power":[87],"allocation":[88],"accuracy":[92,99,195],"based":[93],"designated":[96],"global":[97],"minimize":[101],"maximum":[103],"delay":[104],"all":[110],"participating":[111],"clients.":[112],"Unfortunately,":[113],"problem":[115,127,144],"non-convex":[118],"mixed-integer":[119],"programming,":[120],"NP-hard.":[123],"Thus,":[124],"an":[125,231],"equivalent":[126],"by":[128],"transforming":[129],"discrete":[130],"variables":[131],"into":[132,170],"continuous":[133],"ones":[134],"first":[136],"developed":[137],"in":[138,240],"order":[139],"make":[141],"original":[143],"tractable.":[145],"Then":[146],"propose":[148],"novel":[150],"Alternating":[151],"Momentum":[152],"Gradient":[153],"Descent":[154],"with":[155,193],"Variable":[156],"Similarity":[157],"(AMGDVS)":[158],"algorithm":[159,186],"solve":[161],"min-max":[163],"problem,":[164],"incorporates":[166],"similarity":[168],"index":[169],"previous":[172],"partial":[173],"gradients":[174],"so":[175],"as":[176],"consider":[178],"interaction":[180],"variables.":[182],"The":[183],"proposed":[184,222],"AMGDVS":[185],"converges":[187],"first-order":[190],"stationary":[191],"point":[192],"factor":[196],"being":[197],"<inline-formula":[198,203],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199,204],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[200,205],"notation=\"LaTeX\">$\\eta$</tex-math></inline-formula>":[201],"within":[202],"notation=\"LaTeX\">$\\mathcal":[206],"{O}(\\eta":[207],"^{-4})$</tex-math></inline-formula>":[208],"iterations.":[209],"Our":[210],"simulations,":[211],"conducted":[212],"under":[213],"various":[214],"parameter":[215],"settings,":[216],"demonstrate":[217],"effectiveness":[219],"algorithm.":[223],"Furthermore,":[224],"average":[226],"training":[227],"for":[229],"FMNIST":[235],"CIFAR-10":[237],"datasets,":[238],"both":[239],"Independent":[242],"Identically":[243,248],"Distributed":[244,249],"(IID)":[245],"Non-Independent":[247],"(Non-IID)":[250],"scenarios,":[251],"noticeably":[253],"reduced.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
