{"id":"https://openalex.org/W4406461936","doi":"https://doi.org/10.1109/bigdata62323.2024.10826074","title":"DynamicFL: Federated Learning with Dynamic Communication Resource Allocation","display_name":"DynamicFL: Federated Learning with Dynamic Communication Resource Allocation","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406461936","doi":"https://doi.org/10.1109/bigdata62323.2024.10826074"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10826074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5101653278","display_name":"Qi Le","orcid":"https://orcid.org/0000-0003-1585-0887"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qi Le","raw_affiliation_strings":["University of Minnesota-Twin Cities,Computer Science and Engineering,Minneapolis,MN,USA,55455"],"affiliations":[{"raw_affiliation_string":"University of Minnesota-Twin Cities,Computer Science and Engineering,Minneapolis,MN,USA,55455","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044413037","display_name":"Enmao Diao","orcid":"https://orcid.org/0000-0002-9151-7990"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Enmao Diao","raw_affiliation_strings":["Duke University,Electrical and Computer Engineering,Durham,NC,USA,27705"],"affiliations":[{"raw_affiliation_string":"Duke University,Electrical and Computer Engineering,Durham,NC,USA,27705","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458488","display_name":"Xinran Wang","orcid":"https://orcid.org/0000-0003-2338-429X"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinran Wang","raw_affiliation_strings":["University of Minnesota-Twin Cities,Computer Science and Engineering,Minneapolis,MN,USA,55455"],"affiliations":[{"raw_affiliation_string":"University of Minnesota-Twin Cities,Computer Science and Engineering,Minneapolis,MN,USA,55455","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050886354","display_name":"Ahmad Khan","orcid":"https://orcid.org/0000-0002-6955-8876"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmad Faraz Khan","raw_affiliation_strings":["Virginia Tech,Computer Science,Blacksburg,VA,USA,24060"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Computer Science,Blacksburg,VA,USA,24060","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020766546","display_name":"Vahid Tarokh","orcid":"https://orcid.org/0000-0003-2994-6302"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vahid Tarokh","raw_affiliation_strings":["Duke University,Electrical and Computer Engineering,Durham,NC,USA,27705"],"affiliations":[{"raw_affiliation_string":"Duke University,Electrical and Computer Engineering,Durham,NC,USA,27705","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697341","display_name":"Jie Ding","orcid":"https://orcid.org/0000-0001-6398-0868"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Ding","raw_affiliation_strings":["University of Minnesota-Twin Cities,School of Statistics,Minneapolis,MN,USA,55455"],"affiliations":[{"raw_affiliation_string":"University of Minnesota-Twin Cities,School of Statistics,Minneapolis,MN,USA,55455","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054645319","display_name":"Ali Anwar","orcid":"https://orcid.org/0000-0003-4487-2436"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Anwar","raw_affiliation_strings":["University of Minnesota-Twin Cities,Computer Science and Engineering,Minneapolis,MN,USA,55455"],"affiliations":[{"raw_affiliation_string":"University of Minnesota-Twin Cities,Computer Science and Engineering,Minneapolis,MN,USA,55455","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101653278"],"corresponding_institution_ids":["https://openalex.org/I130238516","https://openalex.org/I4210101327"],"apc_list":null,"apc_paid":null,"fwci":1.8112,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88125932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"998","last_page":"1008"},"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":0.9972000122070312,"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":0.9962000250816345,"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":0.7950869202613831},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.6170336008071899},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.478021502494812},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4571424126625061},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.45043328404426575},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2837403118610382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950869202613831},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6170336008071899},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.478021502494812},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4571424126625061},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.45043328404426575},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2837403118610382}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10826074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":55,"referenced_works":["https://openalex.org/W1965555277","https://openalex.org/W2194775991","https://openalex.org/W2281304176","https://openalex.org/W2594481151","https://openalex.org/W2624989916","https://openalex.org/W2921434559","https://openalex.org/W2951040662","https://openalex.org/W2963819344","https://openalex.org/W2969450769","https://openalex.org/W2972570881","https://openalex.org/W2982409974","https://openalex.org/W2995022099","https://openalex.org/W3001299093","https://openalex.org/W3011766871","https://openalex.org/W3015636663","https://openalex.org/W3021654819","https://openalex.org/W3033152122","https://openalex.org/W3033511014","https://openalex.org/W3037871107","https://openalex.org/W3043723611","https://openalex.org/W3099980742","https://openalex.org/W3105229232","https://openalex.org/W3166954785","https://openalex.org/W3172418599","https://openalex.org/W3203672277","https://openalex.org/W3208693455","https://openalex.org/W4225310475","https://openalex.org/W4226101686","https://openalex.org/W4241619611","https://openalex.org/W4287332481","https://openalex.org/W4289147229","https://openalex.org/W4296558818","https://openalex.org/W4300427714","https://openalex.org/W4313043980","https://openalex.org/W4321636655","https://openalex.org/W4360764618","https://openalex.org/W6697716727","https://openalex.org/W6703116779","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6756756286","https://openalex.org/W6759226220","https://openalex.org/W6760214840","https://openalex.org/W6767676916","https://openalex.org/W6773817997","https://openalex.org/W6778838466","https://openalex.org/W6779174304","https://openalex.org/W6780226713","https://openalex.org/W6781318954","https://openalex.org/W6783533280","https://openalex.org/W6790034021","https://openalex.org/W6796096428","https://openalex.org/W6796484261","https://openalex.org/W6796536798","https://openalex.org/W6797253510"],"related_works":["https://openalex.org/W2923452570","https://openalex.org/W206598027","https://openalex.org/W2978610750","https://openalex.org/W2138260944","https://openalex.org/W2022931285","https://openalex.org/W1589966275","https://openalex.org/W2086872282","https://openalex.org/W2137789903","https://openalex.org/W2138781885","https://openalex.org/W4315630413"],"abstract_inverted_index":{"Federated":[0,75,81],"Learning":[1],"(FL)":[2],"is":[3],"a":[4,21,54,124,150],"collaborative":[5],"machine":[6],"learning":[7],"framework":[8,57,126],"that":[9,58,141],"allows":[10],"multiple":[11],"users":[12],"to":[13,35,90,108,130,149],"train":[14],"models":[15],"utilizing":[16],"their":[17,94],"local":[18,29],"data":[19,30,46,95,163],"in":[20,28,134,153,161],"distributed":[22,44],"manner.":[23],"However,":[24],"considerable":[25],"statistical":[26,96,132,164],"heterogeneity":[27,129,133,165],"across":[31],"devices":[32],"often":[33],"leads":[34],"suboptimal":[36],"model":[37,64,154],"performance":[38,65,105],"compared":[39,107],"with":[40,147],"independently":[41],"and":[42,66,80,102,121,159],"identically":[43],"(IID)":[45],"scenarios.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,139],"introduce":[52],"DynamicFL,":[53],"new":[55],"FL":[56,73],"investigates":[59],"the":[60,117],"trade-offs":[61],"between":[62,119],"global":[63],"communication":[67,88,99,110,128],"costs":[68],"for":[69],"two":[70],"widely":[71],"adopted":[72],"methods:":[74],"Stochastic":[76],"Gradient":[77],"Descent":[78],"(FedSGD)":[79],"Averaging":[82],"(FedAvg).":[83],"Our":[84],"approach":[85],"allocates":[86],"diverse":[87],"resources":[89],"clients":[91],"based":[92],"on":[93],"heterogeneity,":[97],"considering":[98],"resource":[100,111],"constraints,":[101],"attains":[103],"substantial":[104],"enhancements":[106],"uniform":[109],"allocation.":[112],"Notably,":[113],"our":[114],"method":[115],"bridges":[116],"gap":[118],"FedSGD":[120],"FedAvg,":[122],"providing":[123],"flexible":[125],"leveraging":[127],"address":[131],"FL.":[135],"Through":[136],"extensive":[137],"experiments,":[138],"demonstrate":[140],"DynamicFL":[142],"surpasses":[143],"current":[144],"state-of-the-art":[145],"methods":[146],"up":[148],"10%":[151],"increase":[152],"accuracy,":[155],"demonstrating":[156],"its":[157],"adaptability":[158],"effectiveness":[160],"tackling":[162],"challenges.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}